Zero Trust
Cybersecurity

Why Zero Trust Security is a Strong Strategy

The business world is steadily embracing the concept of zero trust (ZT) to make their networks more secure. It's not so much a technology as it is a strategy for maintaining network privacy that involves setting network access policies. An example of a zero trust solution is using multifactor authentication to grant network access. Here's a deeper look at what ZT is and how it can protect your network.


What is Zero Trust?

A simple explanation of zero trust is that it's a security strategy that starts with the premise that anyone who seeks network access must prove their identity. This paradigm makes no assumptions about permissions or identities just because a visitor is on your network. Ultimately, ZT is a system of thinking for maximizing data protection.

The term was coined in 2010 by analyst John Kindervag of Forrester Research. It presumes that all traffic is considered hostile until authenticated, as a strict risk management precaution. His concept of zero trust architecture (ZTA) challenged the previous "defense-in-depth" cybersecurity model that limited data protects within the network perimeter. By contrast, Kindervag's model included building security into the network through authentication processes.

A network perimeter is a boundary between private intranet and public internet resources. Network perimeter devices include routers that permit traffic to pass. Routers contain firewalls that can be configured in customized ways to determine which devices or users have network access.

By 2015 after many large organizations including financial institutions and tech firms faced severe cyberattacks causing millions of dollars in damage. IT experts began questioning the relevance of relying on the defense-in-depth model, which consists of anti-virus software, intrusion prevention systems and advanced firewalls. Around that time ZTA began to emerge in the form of online companies commonly requiring a second or third factor to authenticate accounts.

In the IT world when trust is unquestioned, it can open paths for bad actors to enter a private network. Once intruders penetrate your network, they will likely be invisible while they create havoc by stealing information or unleashing malware. While no cybersecurity solution is 100 percent perfect, the most reliable solutions such as encryption and multifactor authentication are so complex that hackers don't bother wasting their time.

The way cybercriminals usually gain access to private networks is by tricking unsuspecting employees with fraudulent emails that pose as trusted sources. One way hackers trick employees is by providing them with a link to their accounts. The hacker requests for the victim to log in to their account, but really the victim is just giving up their password to a fake web page with an application that collects this confidential information.


What is Zero Trust Security?

The concept of zero trust security is based on methods that make visitors prove their identities before getting on a network. A historical analogy to how ZTA is embedded with security layers can be compared with how ancient kings and queens protected their castles from revolting invaders with multiple tall, thick walls made of stone. But in order to cross the drawbridge over water to enter the castle, the visitor needed to answer a series of questions or solve riddles.

Here are the five concepts that define how zero trust security is embedded in the architecture:

  1. All resources must be accessed securely - You cannot assume that all resources have their own built-in protection systems. In a ZTA all resources require explicit permission.
  1. Access control is implemented on a need-to-know basis - A network member will only gain network access to minimal resources if they are assigned tasks for certain timeframes.
  1. Do not trust anyone, verify their actions - By not taking any network visitor for granted and monitoring their behavior, your system will be less vulnerable to a cyberattack.
  1. Inspect all log traffic for suspicious or malicious activity - Cybercriminals are often able to hide their identities and their presence on networks in which they lack permission. The effects of their damage, however, are usually detectable by advanced 24/7 data monitoring systems. Less experienced hackers are easier to detect.
  1. Design networks from the inside out - Strong security should be at the foundation of your network design. It starts by setting policies on who can access your network.

Cybercrime has exploded over the past decade to the point businesses can no longer ignore zero trust architecture. The reason this architecture is so resilient is because of its multiple layers that make hackers jump through too many hoops. Many hackers aren't really programmers, as they simply rely on software tools to do the hacking for them.

Another form of zero trust security is network segmentation, in which you split your network into multiple segments. Each segment can represent a department or other characteristic of your operation. Certain members are granted access only to specific segments. This strategy limits the amount of damage a cybercriminal can do when they attempt to hijack, disrupt or exploit a network.

Constantly monitoring your network with automated cybersecurity software is one of the major keys to identifying and neutralizing suspicious activity. Many businesses don't know where to begin with cybersecurity, so they outsource to IT experts who provide 24/7 data monitoring. The software sends alerts to management. If it's integrated with machine learning, the software can make automated decisions on how to respond to cyber threats. 

To understand more about Zero Trust Security and everything in it, it’s essential to learn the zero trust basics including the tenets and pillars of ZT model, as follows:


Zero Trust Basics

Trust simply isn't granted automatically in a ZT model. It must be evaluated every time a new device joins your network. Zero trust architecture involves identity, credentials, endpoints and various other events relating to specific network devices and online activity. It further consists of hosting environments and digital infrastructure. Another basic ZT principle is that authenticated network members are only granted limited access and privileges. These privileges may include reading, writing or deleting data.

The traditional perimeter defense approach was much more flexible, allowing network members to access a broad range of resources. But managers are rethinking this approach that's getting eclipsed by the ZT strategy. Tighter access policies reduce the chances of an employee stealing confidential information or compromising data. Even companies with loyal and honest employees must use ZT as a form of risk management and data protection.

Trusted Internet Connections (TICs) and perimeter firewalls are effective at blocking external hackers but are not as reliable at identifying and mitigating internal attacks from within the network. Nor are TICs and firewalls able to protect network devices outside the perimeter, such as those used by remote workers or cloud service subscribers.

Should employees be trusted in your network? Not under a zero trust regime. When social media networks and online games rose in popularity earlier this century, it coincided with a decline in worker productivity. Even worse, countless employees have used employer resources to access illegal websites that engage in copyright infringement. So, it's crucial to set company policies as to how your network resources can be used.


Understanding Zero Trust Tenets

A ZT policy must closely follow the following seven tenets that determine user access and data management:

  1. Enforce mandatory authentication and authorization to access any network resources. A few of the technologies that tie into this policy include encryption and multifactor authentication (MFA).
  1. Maintain data integrity through routine inspection and testing. Continuously monitor your network for system vulnerabilities and cyber threats.
  1. Collect data from multiple sources to analyze and improve security. Pay close attention to security standards to protect your network infrastructure and digital assets.
  1. View all data sources and network devices as resources. Any device with access to a business network should be considered and protected as a resource.
  1. Ensure all communication through your network, regardless of origin, is secured. That means using multiple security layers to protect confidential voice messages, email, chat and video conferencing. 
  1. Only grant network access on a per-session basis. Using a least-privilege policy, users are only granted access to the resources necessary to complete a task.
  1. Adopt an approach that provides moderate access and a transparent policy that regularly updates information regarding resources, accounts and associated privileges.

Pillars that Represent Products and Services of ZTA

Many different products and services associated with zero trust architecture are available, including zero trust security services, and solutions. The main components that make up ZTA for the user pillar besides authentication include access management, user and event behavior analytics, identity management and conditional access. Access management includes managing identity and privilege access.

User and event behavior analytics can be generated from machine learning technology to reveal how users behave on your network. The identity management component is a set of policies and technologies that allow authorized network users to gain access to the resources they need. The conditional access aspect of a ZTA product or service protects data by requiring specific conditions to be met before an individual is granted access.

The device pillar of ZTA products and services encompasses the components of dynamic risk scoring, vulnerability management, device security and device identity. Other components relating to device requirements include compliance, authentication and device management, as well as device inventory and enterprise mobility management.

For the network pillar, product and service components include software-defined networking, segmentation, network security, zero trust network access, network access control and transport encryption. It further provides session communication protection so that company secrets don't leak.

Other products and services are designed for the application, data, analytics and automation pillars. Each of these product categories has security tools and processes that make network activity more secure. Encryption is a key component of data pillar products, as it provides protection for data-at-rest, data-in-transit and data-in-use.


Zero Trust View of a Network

When you implement zero trust architecture, you will need to make basic assumptions for network connectivity. These assumptions apply to both your company's network infrastructure and your digital resources used on third-party networks, such as public Wi-Fi or cloud service providers. Here are the six key assumptions to consider for deploying a ZTA policy:

  1. A business network is not an implicit trust zone. Digital assets and all communication should be as secure as possible. Encryption of traffic data and confidential information is ideal due to its complexity which frustrates even the most skilled hackers.
  2. Some devices on a business network may belong to third parties such as partners, vendors, suppliers and customers. Many companies now allow bring-your-own-device (BYOD) policies, in which employee devices should be identified by your security monitoring systems.
  3. No resource should automatically be trusted. Every digital asset needs its own security features and should have a barrier to access that requires authentication. The evaluation process of determining who should have network access must be an ongoing pursuit to account for continuous changes in network activity.
  4. Not all of a firm's resources operate on its local infrastructure. It's common now for companies to use third-party resources to create and store digital assets. These non-enterprise-owned resources may include online production-oriented cloud services, social networks and search directories.
  5. You cannot completely trust your local network connection. No data center or cloud service provider can guarantee 100 percent uptime. Remote users should presume that non-enterprise-owned networks are hostile and that all network activity is monitored. There should be no flexibility in requiring authentication, as users should expect to prove their identities with credentials.
  6. A consistent security policy should exist for devices and workflows moving between your business and external organizations. This policy must also apply to workloads moving from your local data center to external cloud services.


Conclusion

The best way to understand zero trust is that it's a set of concepts based on the notion that trust is never presumed, as network users must verify their identities before gaining access to resources. It's a strict set of principles that helps reduce the chances of falling victim to a cyberattack. 

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Green IoT
Internet Of Things

All About Green IoT and How It Makes Businesses More Sustainable

The emerging concept of green IoT serves multiple purposes with the goal of improving the quality of life through technology and eco-friendly practices. IoT stands for the "Internet of Things" which comprise real-time internet-connected devices designed to collect specific data. Meanwhile, green IoT involves the use of sensors that monitor the environment to ensure the safety of natural resources such as clean water, air, soil and food.


Green IoT Explained

Green IoT encompasses energy-efficient techniques that IoT uses to lessen the greenhouse effects of emerging technologies. 

Everyone is fairly aware that environmental elements such as air and water are vulnerable to greenhouse gases. An often understated drawback of industrialization is the toxic chemical pollution it spreads across the planet. Even computers contribute to pollution in the form of end-of-life e-waste if they end up in a landfill. Federal state and local governments are investing in green IoT as a step toward cleaning up the environment.


Technologies Used for Green IoT

Growing environmental concerns are driving the development of apps designed to monitor environmental conditions. IoT devices that connect with smartphone apps are used to measure temperature, humidity, and wind speed along with the quality of air, water and soil. Many farmers have adopted IoT devices to monitor agricultural conditions.

When combined with machine learning software, IoT data can lead to calculated weather and crop growth forecasts. Here are some key emerging green technologies associated with IoT:

  • Green RFID - Decreasing the size of RFID tags is a step toward sustainability since it helps cut waste. Designers of green RFID technology have made advancements in energy-efficient algorithms for tag estimation.
  • Green WSN - As an integral component of green IoT, a green wireless sensor network (WSN) is a series of multiple computing devices that share limited power and storage capacity.
  • Green Cloud Computing - Migrating business operations to the cloud opens up several possibilities for reducing your carbon footprint. You don't have to invest in as much expensive hardware, which likely contains toxic materials.

An entire book can be written about how the cloud itself makes business activity more efficient and eco-friendly. The only major environmental concern about the cloud is many large data centers around the world are powered by fossil fuel energy. When cloud usage becomes congested, it can strain the traditional electric grid system.

On the other hand, Apple, Microsoft, Amazon, Google and other large tech companies have invested heavily in large facilities powered by renewable energy. In 2022 Amazon became the largest buyer of renewable energy on the planet. The company has been on a green buying spree as part of its goal to be "net-zero carbon" by 2040.


Environmental Advantages of Cloud Computing

The cloud frees up your physical space since you can store digital documents in a secure data center. Cloud computing allows for remote work from home, reducing the need for morning and afternoon commutes across town.

Another green advantage of the cloud is it can cut your energy bills by using less hardware, electricity and office space. Allowing employees to bring their own devices helps reduce the need to invest in computers that generally have a lifespan of 5-10 years before becoming e-waste or getting recycled.

On one hand, hanging on to legacy computing systems gives you the most for your investment. On the other hand, old computing systems are the most vulnerable to cyber-attacks. The cloud offers a balanced solution in the sense it makes computing efficient as long as individual IoT devices on your network have their own or nearby computing capacity.

Ultimately, the cloud cuts environmental waste and risk. Moving to the cloud means there's less need for paper, which helps preserve forests. Developing a cloud-based digital infrastructure reduces the need to store a growing stack of hard-copy documents. Since the cloud allows for low-cost communication, it also reduces the need to print marketing material for mass distribution.

Social networks such as Facebook, Twitter and LinkedIn are powerful cloud services that help businesses cut the costs of marketing by connecting directly with patrons. It saves businesses from doing costly large print runs to promote themselves. The ink used in print is typically a toxic material, although many print shops are seeking greener solutions.


How to Optimize Green IoT

Eco-friendly solutions are possible for an organization the more it deploys IoT devices that monitor environmental activity. The three main qualities for electronic devices to be considered sustainable are how lean, efficient and durable they are. A machine learning program can scan volumes of data from sustainability studies and experiments to provide concise reports on which solutions deliver the most eco-friendly results.

Amazon Web Services (AWS) has been a notable pioneer in making IoT more efficient and secure. Its platform called AWS IoT Core allows multiple IoT devices to securely interact with each other in the cloud. With the help of device communication protocols, the system allows users to publish data in the cloud and offers subscriptions for accessing the data.

According to a study by 451 Research, AWS reduces its carbon footprint significantly in its data centers thanks to more efficient use of servers. Another reason why AWS IoT Core is considered a sustainable cloud solution is it uses less code on IoT devices, which requires less maintenance. The system is secure due to its zero trust policy and its robust Transport Layer Security (TLS) mutual authentication protocols that all AWS traffic is routed through.

For companies seeking to keep data as localized as possible, Amazon offers AWS IoT Greengrass, a service that expands the capacities of AWS IoT Core. This more advanced monitoring system allows for greater flexibility with offline capabilities and managing data remotely. The service utilizes components that make coding more efficient, such as runtime installers and libraries. Essentially, electronic devices no longer need to be designed with code for one purpose.


Challenges Facing Green IoT

Today there are billions of IoT devices connected to the internet. During this decade the number is expected to surpass 40 billion. Many of these devices are designed to be compatible with 5G wireless networks, although there are still countless sensors operating on 3G and 4G. The advent of 5G makes it possible for companies to integrate machine learning technology with IoT.

But cluttering up the cloud with too much big data can be a digital pollution problem that creates latency. So, the alternative when it comes to using IoT devices is edge computing, in which sensors or nearby nodes process the data instead of sending millions of packets over long distances to the cloud. The combination of 5G and green IoT allows for vast data monitoring with the help of edge computing.

The challenge for data centers to shift to renewable energy and greener practices mainly involves financial barriers. Otherwise, many data centers and businesses of all types are on board with green energy.


Conclusion

The rise of green IoT is changing the way companies of all sizes are running their businesses. A growing wave of organizations is expressing their concern about protecting the environment, making IoT significant for going green. Not only can tech developers contribute to a greener world, but so can organizations that embrace smart technology.


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Smart Technology and IoT Security
Cybersecurity

Why Businesses Using Smart Technology Must Prioritize IoT Security

An escalating issue surrounding an "Internet of Things" infrastructure is how well its IoT security protects data. Streaming continuous data collected by sensors to improve a company's operations has many advantages, but it also opens the door to cybercriminals intercepting the data. Without the right data protection strategies and insurance, a company's net assets can erode quickly.

Here are reasons why businesses investing in IoT technology must take cybersecurity seriously.


Established Facts About IoT Security

Strategies for IoT security have shifted in recent years to adopt a zero trust policy, in which strict network access rules are enforced through requiring authentication. While recent debates on IoT security offer mixed perspectives, here are essential facts about IoT security that cannot be disputed or ignored:

  1. IoT devices exist in hostile environments - No matter where IoT devices are installed on a network, they face challenges that result from indoor or outdoor environments. IoT devices within a factory can be compromised by intruders or even insiders. Outdoor smart devices have risks involving climate and vandalism. Due to uncertain trust across the internet shared with cyber criminals, no flexibility should be allowed for requiring all devices to be protected.
  2. Software security diminishes in effectiveness over time - All forms of software security become outdated at some point unless the developer continues to support it with updates. The longer old hardware or software remains in service, the more security risks they pose. Systems no longer supported with security updates should be replaced.
  3. Shared secrets often spread online - Something that never changes even though the most rapid technological changes is that there will always be people who can't keep secrets very well no matter what they promise. Anything shared online, even on a private network, is potentially not very secret anymore. It's another reason for the adoption of zero trust principles and to ensure every IoT device on your network is protected.
  4. Default configurations cause vulnerabilities - Using default manufacturer settings persists, even though IT experts have warned clients how default configurations offer weak protection. Once a hacker sneaks onto a network with insufficient security, it's easy for them to penetrate computing devices on the network that also lack protection.
  5. Big data grows with exposure issues - The enormous amount of valuable data captured by IoT sensors is what attracts many businesses to invest in IoT architecture. As data accumulates in high volumes, it must be managed properly with strong security or it can leak into the wrong hands. Any business that adopts edge computing as a cost-cutting solution but doesn't secure devices on the network is investing in diminishing returns. All it takes is one cybersecurity breach to flood a business with expensive lawsuits.


Planning for the IoT Explosion

There are already billions of devices and objects connected to the internet. Imagine a decade from now how many more there will be due to widespread IoT adoption. Industry 4.0 companies with vast resources to pay for transformation to a digital infrastructure have already paved the way for smaller businesses to follow. Industries that have already successfully pioneered IoT include manufacturers, utilities and logistics firms.

The IoT market is expected to reach $1.5 trillion by 2027, according to Fortune Business Insights. The most widely-used smart devices besides smartphones consist of Wi-Fi routers, internet hubs and smart TVs. Smart technology used by warehouse suppliers includes data monitoring systems that share data throughout the supply chain. Automation is a game-changing technology that has attracted the attention of innovative organizations as a sustainability strategy.

Managers must be aware that IoT is not a passing tech trend that will eventually fade like fax machines. It's a new paradigm that's here to stay due to the degree to which it empowers businesses of all sizes to streamline their operations. The current state of IoT adoption is already noticeable to the public among government, retail and healthcare organizations. IT experts have forecasted the number of IoT devices online by 2030 will surpass 24 billion.

A recent Forrester Consulting study in North America found that 69 percent of businesses surveyed have more IoT devices than computers on their enterprise networks. While only 16 percent of organizations surveyed said they had sufficient visibility of their data-collecting sensors, 67 percent confirmed dealing with a security incident involving an IoT device. The same survey found that 93 percent of respondents plan to boost security in their budgets for IoT and unmanaged devices.


Protecting Limitless Data

One of the biggest challenges IoT-based operations face in the future is how to protect limitless data. The more data that's sent through a wireless network, the more chances there are for the data to be captured by a hacker. Even if a hacker has no personal use for a company's IoT-generated data, the culprit can still sell the stolen data to other criminals who might consider it valuable.

The exponential growth of IoT devices means digital monitoring will be omnipresent and difficult to escape. That further means cybercriminals will have many more opportunities to discover security flaws in private enterprise networks. The more unprotected IoT devices on a network, the more paths of entry for hackers.


IoT Challenges Ahead

Business leaders need to be more vocal about addressing security issues surrounding digital infrastructures with hundreds or thousands of connected smart devices. There's a growing diversity of connected IoT devices, which creates further security challenges. Companies that manufacture smart technology products must take the initiative to embed security in their hardware and software or the government will likely intervene and demand it.

The next generation of IoT devices will be more integrated with other empowering technologies such as automation, artificial intelligence (AI) and machine learning (ML) software. This synergy alone will make IoT much more sophisticated, as AI and ML will play significant roles in improving protection for all electronic devices. This blending of technologies will ultimately make network intruders much easier to expose.

Another monumental challenge for the IT industry will be for its leaders to adopt security standards for using IoT devices in edge or cloud computing. These standards will be developed by organizations such as the National Institute of Standards and Technology (NIST) and the Center for Internet Security (CIS). In order for widespread adoption of a zero trust IoT environment, it will be necessary for all IoT-based players to address security as a major concern for all network devices.

The more the entire community of legitimate IoT operators work together, the faster response times will be to neutralize cyber threats. This collaborative effort will also improve device visibility and monitoring across enterprise networks.


Conclusion

No one can deny the importance of IoT security on an enterprise network. IoT devices without proper protection violate modern zero trust principles and are vulnerable to cyberattacks. It's crucial for IoT-based operations to work with IT experts who have a deep understanding of IoT security, its strengths and limitations.


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IoT Architecture
Internet Of Things

What IoT Architecture Is and Its Impact on Businesses

The term "Internet of Things (IoT)" has already confused enough people, making it difficult to see the bigger picture of IoT architecture. Understanding the broader view of how a real time monitoring system that collects data from sensors works will help demystify various IoT terminology.

Here's a look at how sensor-driven architecture can modernize and streamline a business.


Defining IoT Architecture

There are various components of IoT architecture that enable a business to collect valuable data in real time. Data insights captured from IoT sensors alone do not tell the full story of what IoT is about. In order for a business to justify an IoT investment, the company needs to understand the various layers and deployment stages of IoT architecture. Mixing them up can lead to expensive mistakes.

The architecture layers for IoT are the sensing, network, processing and application layers. First, a physical layer within the environment must be established through connected devices and objects. The Internet of Things would not exist without smart technology such as smartphones or technology that converts analog information into digital data.


Layers of IoT Architecture

Part of the confusion over IoT is that it's not just one technology or process. It's a collection of technologies and processes categorized in layers. Each software architecture layer simply encompasses different types of devices, apps and methods that can be grouped together to serve a certain purpose. Here's a deeper look at what these layers mean:

  1. Perception/Sensing Layer: Wireless sensors and actuators make up the perception layer. While a sensor collects and delivers data, an actuator measures changes recorded by the sensors. These sensors and actuators can be connected through Local Area Networks (LANs) and Personal Area Networks (PANs).
  2. Network Layer: This layer encompasses the platform that facilitates data transmission through various connected devices. It allows devices to communicate with other servers and devices. The network layer allows you to monitor how data moves throughout a software application. It includes Data Acquiring Systems (DAS) and Internet/Network gateways. A DAS is responsible for the functions of data aggregation and data conversion from analog to digital.
  3. Processing Layer: The analytics gathered from an IoT ecosystem are made possible due to data processing. IoT data is typically pre-processed and stored before it is delivered to a data center. Edge computing is becoming an important part of the processing layer since it involves IoT devices with data processing capabilities.
  4. Application Layer: When users interact with IoT software, they are operating in the application layer. This layer includes smart apps that are used to access IoT data.

Each of these software layers works together to make IoT technology possible. In order to call a system IoT-based, it needs devices that run on a network, where data processing is possible, then data can be accessed through smart apps.

When you put all the IoT layers together, it creates an architectural system that reflects how successful communication works. Sensors act as the senders of information, while data is the message. The data moves through channels such as edge networks where it's processed. End users receive the data through their smart devices. The main noise in the system that can disrupt data transmission is the latency from sending too much data to the cloud.


Planning for the IoT Architecture Model

Before investing in an IoT architecture, it's best to get a broad view of the different stages involved with deploying it. Understanding how IoT architecture is broken down into technology categories will help clarify how the components interact with each other. Here are the sequential stages of deploying sensor-based architecture:


Connected Objects and Devices

All the devices that connect with an IoT network are considered part of the first layer, which must be set up first before any other deployment. Connected objects can be anything generating information that can be converted into digital form via electronic technology. The sensors and actuators in the perception layer are among the first to be deployed when setting up an IoT system.

There are various types of IoT sensors now that can be used for different applications. Farmers use IoT throughout their properties to monitor environmental elements such as the quality of soil, air and water. The most advanced agricultural companies use drone equipment with sensors to take aerial photos of crop fields.

Many smart homes contain electronic devices equipped with IoT sensors, such as smart thermometers. Some sensors can detect proximity, such as when a pedestrian walks near home. Proximity sensors are used by physical retail stores to detect when customers come near the door or a certain section of the store layout. Other sensors can measure pressure, chemicals and gases.

Smoke sensors are found in modern smoke and fire alarm systems. While these sensors have existed for decades, they are much more reliable and effective in an IoT infrastructure. IoT-based smoke detectors have the capability of sending immediate alerts to homeowners on their smartphones when fire, gas, or smoke is detected on their property.


Internet Gateways

Once IoT objects and devices are determined, the next stage in deploying this powerful interactive system is to set up an internet gateway. A gateway is a device that converts analog data to digital data to allow data processing over the internet. Today's internet gateways collect raw data for IoT sensors before it is sent to the cloud or a nearby server. After the internet gateway converts analog information to digital form, it aggregates and protects the data.

The next features to deploy in an IoT system are analytics and security. Analytics software presents gathered data from various sources in a prioritized way to reveal system insights. Ultimately, analytics is the end product of an IoT system that allows business leaders to make quick improvements.

Data security is no longer an option, as it must be viewed as a requirement. Many early IoT systems lack the sufficient protection of a zero trust environment in which all devices connected to a network must be protected. Not only do internet gateways help protect digital assets, but they can also improve a company's performance and efficiency.


Edge Computing

The third stage in the deployment of IoT architecture deals with the pre-processing phase and methods that enhance analytics. Edge computing is the use of network devices that have data processing capabilities, so that data does not need to be transmitted long distances. Sending big data to the cloud creates network congestion that can lead to latency and higher costs for bandwidth expansion.

So far edge computing has proven to be more efficient than cloud computing for the processing of IoT data. Edge IT systems often incorporate machine learning technology in which data analysis of patterns can be accelerated to reach quick conclusions and solutions. By using self-processing IoT devices, an edge IT system reduces strain on your core IT infrastructure.

Another advantage of edge computing is that it allows for data visualization techniques to deliver compelling system insights. In other words, it's a system that can that easily facilitates graphic displays, which are powerful tools that accelerate learning curves. Studies show people can grasp information faster from viewing an infographic or a video than from reading several paragraphs of text.


Cloud Storage

Many cloud providers operate from large data centers where processed IoT data ends up. In the cloud, the data can be evaluated further for final analysis and reporting. Through data centers and cloud service providers company data can be easily managed and made available to customers. The cloud is often used as a place where customer data can be transferred through applications.

Private clouds offer a much safer and more secure haven for confidential data than public clouds. But public clouds often allow for free storage, which is why many companies use them. Choosing a hybrid approach is sustainable because private clouds make critical data safer while public clouds help cut IT costs for storing less important big data.

The combination of the cloud and IoT is a powerful solution for any business that generates a wealth of data. As long as the bulk of remote IoT data doesn't have to travel to the cloud, the cloud can be utilized as a hub for an entire business. Making sure you keep big data under control from IoT sensors is an essential piece of the sustainability puzzle.


Conclusion

People and organizations can connect with each other more swiftly and seamlessly through IoT architecture. This system of data-collecting sensors helps businesses detect system problems in real time while offering immediate solutions through the use of machine learning software. A lot of IT companies are already emerging around the globe that offer services to design your business’ systems that are aligned with IoT architecture. So, this shouldn’t be a problem once you decide of doing so.


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Blockchain and IoT
Blockchain

Why Blockchain and IoT Make a Powerful Pair

The Internet of Things (IoT) is giving businesses competitive edges that didn't exist earlier this century. Businesses that find IoT data leaks a reason to avoid investing in a digital infrastructure with IoT sensors, should consider blockchain as a superior cybersecurity layer.

Here's a look at how combining blockchain and IoT can empower your business to make dramatic system improvements.


How Blockchain Protects IoT

A central reason why blockchain and IoT go together well is that both are developments that promote sustainability through data collection. They've evolved together in the same era in which businesses have sought innovative solutions to serious internet issues such as data protection. Using blockchain as a security layer with IoT sensors can streamline a business in multiple ways. It can simplify production processes, increase company transparency and create better customer experiences.

Once you create a blockchain of interconnected blocks of data on a computer network, it can be accessed only by members with a special encryption key. Regardless of who accesses the data at that point, they cannot change any of it. Ultimately, this dynamic makes blockchain more secure than a centrally-controlled database. A hacker can gain a wealth of information by breaching a database but will run into endless walls and speed bumps when trying to access blockchain content.


Blockchain Needs to Be Standardized

Although blockchain is not yet the standard form of cybersecurity for IoT devices, it's poised to advance in that direction. One of the main concerns about using IoT is that when it distributes data through wireless transmission, the data can be intercepted by cybercriminals.

Blockchain technology provides a digital time stamp of when stored data is accessed, leaving a "digital paper trail" that tracks wallet addresses. While cybercriminals have tried to use crypto to hide their identities, blockchain is not an anonymous system, particularly when someone tries to trade crypto for cash through an exchange-registered digital wallet address.


Ways that Blockchain Adds Trust to AI and IoT

Think of a computer without any data protection as similar to a home full of open doors and windows, in which any strangers without being identified can walk in and out as they please. By contrast, a computing device with security layers like firewalls, antivirus software, encryption and 24/7 monitoring software is like a home with deadbolt locks and a burglar alarm system.

Now think of a big box store divided into hundreds of rooms with brick or concrete walls and steel doors surrounded by steel gates and video cameras. That's what blockchain is like by comparison. Another analogy is that while a database is like keeping secret documents in a filing cabinet in a locked room, a blockchain is like storing that same sensitive information spread out among many locked rooms.

Many cybersecurity experts consider blockchain to be a superior form of data protection, as it's based on data encryption. A blockchain, as the name suggests, is a series of interconnected digital blocks that store information. A hacker would have to crack complex encryption code for multiple blocks in order to compromise the data. Unlike other forms of communication, blockchain messages are nearly impossible to intercept.

How blockchain encrypts and stores data makes it a secure solution for IoT devices. It keeps a record of its activity on a public ledger that cannot be altered, so that community members can verify events that occur on the network.


Concerns About Trust in Decision-making Algorithms

The three main components of artificial intelligence are data, models and analytics. While many businesses trust centralized database systems, all it takes for a hacker to compromise massive amounts of data is to gain access to the database. In a decentralized system such as blockchain, most hackers don't know where to start, making it safe to store massive AI data.

The reason why blockchain works well with artificial intelligence applications is that AI involves decision-making processes based on "if/then" principles. The reason for a machine learning program arriving at a decision can be expressed in detailed data stored in multiple blocks. The fact that blockchain allows for securely storing a wealth of AI data on a network adds to its trust level.


AI Regulations in the EU

Despite the fact the business world is becoming increasingly automated, AI decisions must still be verified by humans to ensure accuracy. It's particularly important for businesses in the European Union to understand how their algorithms work due to new laws affecting AI. The EU General Data Protection Regulation (GDPR), which was implemented in 2018, requires owners of AI technology to explain upon request how their algorithms make decisions or face legal penalties. In this regard, blockchain simplifies audits with comprehensive reports, further elevating its trust level.


Trust in Crypto Transactions

Blockchain technology has proven to be a reliable cybersecurity solution for online transactions, particularly using cryptocurrencies such as Bitcoin. Automated transaction details can be stored in IoT devices that are accessed by different suppliers throughout a supply chain. Since there is no bank serving as a mediator, smart contracts cut costs on transactions. The combination of blockchain's encryption, communication process, lower costs and accurate tracking build a high level of trust among its participants.

A digital wallet developer that facilitates using blockchain is GridPlus, which manufactures a wallet-sized hardware device called Lattice1. Its user-friendly display portal makes it easy to read, reject or approve a smart contract with a third party. The device can be used to access any supported software wallet to make transactions with cryptocurrencies. It can also be used to store up to 64 GB of data. Its Wi-Fi antenna provides internet connectivity while its ZigBee antenna allows the device to connect with other IoT devices.


Turning to Zero Trust Principles

The security strategy known as "zero trust" in network computing is based on the "verify, then trust" notion. Websites, apps and IoT devices can use this strategy to shut out unwanted users from accessing data. The verification process for granting access to a digital network typically involves a username and password. Stronger security is achieved by adding multi-factor authentication.

In a zero trust environment, no access is given to anyone until their identity is authenticated. This strict policy can also be viewed as a "never trust, always verify" concept. Not all IoT devices that share data have built-in zero trust mechanisms, but they should, especially if the data is valuable or confidential.

Keep in mind that any electronic device connected to your network can potentially be vulnerable to a cyberattack, even with the most state-of-the-art data protection. So, it only makes sense to use a zero-trust strategy for all your network devices, including routers and IoT sensors.


Trusted Brands

Companies currently exploring AI development include tech giants Apple, Google, Amazon and Facebook owner Meta. These firms have gained enormous trust with the public over the years as far as designing technology for AI, IoT and the cloud.


IoT-based Blockchain Use Cases

Some of the most important applications for blockchain in the business world include smart contracts and recordkeeping. Here are some of the ways in which blockchain pioneers are currently using the technology:


Transactional Applications

As indicated earlier, blockchain is ideal for applications designed to make financial transactions. Smart contracts can execute either cash or crypto transactions upon completion of the terms. Blockchain is built on zero trust principles, as only authorized members of its community are allowed access via an encryption key.


Back-up Energy

Industry 4.0 firms have deployed digital infrastructure that allows for using smart contracts. A power generation company, for example, might use smart contracts to purchase alternative energy to account for mainline system glitches or shortages. Utility companies that partner with alternative energy companies to tap backup resources should consider smart contracts.


Logistics

Blockchain is also ideal for the logistics industry since it deploys a high volume of IoT devices to track shipping and handling. These devices track specific products shipped to specific parties, which requires a zero trust strategy. Since blockchain maintains data integrity, it's a system that can be trusted and secure by supply chain members.


Healthcare Wearables

The healthcare industry must take a zero trust approach to digital technology or face heavy fines due to HIPAA regulations involving patient privacy. As medical professionals extract streamed patient data from wearable connected devices, these IoT devices must adhere to zero trust principles. Again, blockchain can maximize privacy for wearables.


Conclusion

In order for businesses to widely adopt blockchain and IoT, trust in the technology is a major factor. Once businesses become more comfortable with the security and precise tracking that blockchain provides with IoT integration, they will become less hesitant to implement it, as the world goes more digital. Smart contracts are helping lead the way toward trust in blockchain technology.


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Electric Vehicles
Electric Vehicles

Exploring the Future of IoT Projects for Electric Vehicles

Automakers are among the largest companies using IoT technology, particularly for electric vehicles (EVs). The world has entered the age of the Internet of Things (IoT), connected cars and digital infrastructures. Many science fiction concepts of the last century are now physically possible. 

Here are some of the most interesting IoT projects for electric vehicles that are paving the way to a sustainable future.


Understanding the Need for EV Connectivity

An EV or any other type of car can be connected to the internet through wireless IoT devices. These sensors can be applied to various parts of a car to track performance. One of the reasons industrial companies are investing in electric vehicles with IoT is to cut energy and transportation costs.

A major advantage to a connected car is that its software can be updated automatically online. The sensors communicate real-time data to the driver, but some new electric models have automated self-correcting features. IoT devices monitor fluid levels and the condition of individual EV components. When there's a problem detected from IoT data collection, the system alerts the driver. A connected car allows a technician to diagnose a car problem quickly.

Numerous IoT projects for electric vehicles have emerged in recent years. In October 2022 Sony and Honda announced their collaborative plan to sell EVs in the United States and Japan starting in early 2026. The joint venture called Sony Honda Mobility Inc. will accept pre-orders in 2025. This synergetic relationship consists of Sony's expertise with sensors, imaging, networking and entertainment, and Honda's automotive manufacturing and sales expertise, as well as advances in mobile technology.

How IoT Helps EV Drivers

  • Monitors the health and performance of various EV parts
  • Provides real-time battery usage data
  • Scans the internet to find nearby charging stations
  • Utilizes Google Maps for route tracking
  • Generates a detailed charging report
  • Telematics devices track driver behavior


Making Connected Cars Secure

It's actually possible for a hacker to hack into a car's software. But some electric car makers are embracing blockchain technology as a form of robust cybersecurity. Google's autonomous car has helped demonstrate that blockchain does indeed add a strong cybersecurity layer. Blockchain keeps data secure by compartmentalizing it in blocks and encrypting it.


Studying the Market for Connected EVs

There's a growing market for connected EVs for sustainability reasons such as reducing energy costs and cutting greenhouse gases. As many new EVs are priced in the $30,000 to $60,000 range, there's a growing demand for greener solutions among transportation companies. A recent Geotab study revealed that 78 percent of fleet managers plan on going electric with over half of their products within this decade.

Global investment in IoT-powered technology is expected to soon surpass $1 trillion. IoT adds a safety element for using multiple self-driving or remote vehicles.

During the pandemic, many automotive companies faced production and sales declines. EV sales, however, increased by 20 percent year over year, according to the Society of Manufacturers of Electric Vehicles. Tesla has emerged as the sector's leader, but now faces a crowd of competitors that are sharpening its focus on producing EVs in the near future.


How EVs Contribute to Sustainability

The projected exponential growth of EVs in the next decade points to businesses and society getting more in tune with sustainable solutions. The production methods for building IoT cars also embrace sustainability, as manufacturers are learning how to improve operational efficiency by placing IoT devices throughout the assembly line. Here are other ways EVs promote sustainability:

  • Emissions-free: EVs are powered by electricity, which doesn't harm the environment. Although the production of lithium-ion batteries used in EVs has environmental concerns, the end product does not pollute. Scientists are working on developing cleaner power alternatives.
  • Less Maintenance: Since the most advanced EVs have many automated self-healing features, there's less need to take them to an auto shop for general maintenance. One of the reasons EVs don't require as much maintenance is that they don't have as many moving parts as a traditional gas-powered vehicle. The main power components of an EV are the motor, inverter and onboard charger.
  • Renewable Energy: Instead of polluting the environment with finite fossil fuel resources, EVs can be charged with solar energy. Many EVs, however, are charged by grid energy at the moment. Solar is expected to play a much more significant role with EVs in the future. For now, at least lithium-ion batteries can be recycled.
  • Freedom from High Gas Prices: High gas and oil prices contribute directly to slowdowns in business development. Gas got so expensive at points during the pandemic, that it forced many companies to embrace the work-at-home model. Companies that own a fleet of EVs aren't as disrupted by high gas prices.


EV Projects for the Future

Future electric cars will no doubt be powered by something cleaner than lithium-ion batteries. Hydrogen-powered fuel cell cars may become a factor in cleaner energy designs. For now, lithium-ion batteries for EVs and hybrids are the most efficient energy storage solution.

Some of the solar experiments underway for future projects involve discovering more energy-efficient ways of harnessing endless energy from the sun. Some EVs already use solar panels for backup power. Tesla offers home solar panels made of durable tempered glass that provide sufficient electric charge for its vehicles. Another popular EV, the Nissan Leaf, is partially powered by a solar panel.

On the horizon, there are dozens of manufacturers set to compete in the emerging EV market. Traditional automakers such as Ford, GM and Volkswagen are planning on issuing multiple EV models throughout the 2020s. Other automakers going electric include Mercedes-Benz, BMW, Audi, Volvo, Jaguar, Hyundai, Kia and Subaru. Newer automakers devoted to making EVs include Rivian, Lucid Motors, Nikola and Canoo. Meanwhile, Proterra is developing emissions-free, battery-electric buses.

IoT can play a major role in EV evolution, although it's still not universally embraced across the automotive sector or even by EV makers. The global market size of the automotive IoT market, according to Netscribes Market Research Report, will surpass $106 billion by late 2023. An indication that the shift to IoT-enabled electric cars will be more than just a trend is that governments around the world are investing in both EVs and IoT.

Many modern urban planners view IoT as essential to build sustainable smart cities. The more connected cars are integrated with a smart infrastructure, the more traffic control officials can identify and resolve traffic problems. Technical complexity, costs and privacy concerns are key reasons why not all automakers are on board with IoT. But once IoT is widely adopted as a standard, it's likely automakers will be more receptive to IoT integration. IoT sensors definitely help transportation companies gain efficiency.


Conclusion

Reviewing current IoT projects for electric vehicles is a good way to build your knowledge base on digital technology. It's important to know where technology is going, especially when it offers a competitive edge for an enterprise.


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Smart Manufacturing Trends
Internet Of Things

Improve Business Sustainability With These Smart Manufacturing Trends

Would you like to make your organization more sustainable so you can save time, money and resources? Consider regularly monitoring the latest smart manufacturing trends. It will give you ideas on what types of smart technology fit your operation or can make it better.

Here are some recent trends in smart manufacturing that have made the production processes more efficient.


Modernizing Supply Chain Management

Any organization in the logistics field these days must consider digital transformation or lose market share. One of the keys to effective supply chain management now is for manufacturers to choose suppliers who share data through smart technology. It allows everyone throughout the supply chain to have full visibility as to what supplies are available.

Outsourcing to third-party logistics (3PL) firms has become a growing solution for manufacturers that aren't up to speed with modern logistics. It's an affordable option if you don't have the budget to invest in IoT or other smart technologies. An advanced 3PL uses a wide range of smart solutions including IoT, automation, machine learning and robotics.


Seeking Superior Connectivity

One of the most significant smart manufacturing trends of the past few years has been the rising demand for and deployment of high-quality connectivity. Due to the expansive use of data on a daily basis, businesses face either conserving bandwidth or paying higher costs for more of it. Quality and quantity matter when it comes to connectivity because they both affect pricing and performance.

Manufacturers are steadily adopting 5G wireless networks, which handle big data much more efficiently than previous Wi-Fi generations. In response to the pandemic, 75 percent of manufacturers have adopted some form of smart technology, according to the 7th Annual State of Smart Manufacturing Report issued by Plex. The report further states that smart manufacturing adoption is increasing at an annual rate of 50 percent.


Capitalizing on Predictive Analytics

Data visualization has become a necessary science for today's business leaders to understand and utilize. Manufacturers must build upon data visualizations from IoT analytics to streamline their operations. Knowing the number of terabytes of data per day your factory generates is an important metric to track.

In a smart infrastructure, your analytics will track so much data that it would be impossible for one person to manually sift through all the data in a day. But with a machine learning program, you can get summaries of performance activity, along with predictive analytics for future output. AI and automation have empowered warehouses and transportation companies to reduce or eliminate waste and lost opportunities by generating more accurate inventory projections.

Warehouse managers must be accurate most of the time at demand forecasts to avoid losses from unsold inventory. Machine learning software can analyze millions of historical data points rapidly to detect patterns and trends in customer demand. It scans data from multiple sources and generates reports that include estimates for future demand to help managers order the appropriate number of supplies.


Automating Quality Assurance

One of the best ways to improve quality assurance in a factory is to monitor the network automatically and remotely. When an IoT device detects a bug or suspicious visitor in the system, smart alerts will be sent to management and IT personnel immediately. Factories are increasingly shifting to an Industrial Internet of Things (IIoT) infrastructure, which means populating a factory with IoT devices. It also means video can be used in many locations of the facility for visual inspection.

Robotic process automation (RPA) for light administrative tasks such as inventory management is growing in importance among manufacturing plants. Automakers have used robots since the 1960s for redundant or dangerous assembly line tasks. On September 30, 2022, electric vehicle manufacturer Tesla unveiled its human-like robot called Optimus, which waved and danced. Tesla CEO Elon Musk said it will eventually walk and help build cars. Ultimately, the company plans to manufacture millions of these robots as human assistants.


Utilizing Wearables for Medical Patients

The healthcare industry has advanced quickly in recent years with wearables worn by patients. These devices monitor the patient's biological processes such as heart rate, blood pressure and blood sugar level. Wearables come in various forms including smartwatches and headsets. Fitness trackers are typically worn on the wrist or around the neck. Pocket devices such as smartphones are also considered wearables.

The concept of a wearable computing device goes back to the 1970s when it was introduced by University of Toronto AI/engineering professor Steve Mann, the "father of wearable computing." In the 2020s some of the most talked about wearables include the Apple Watch and Fitbit's fitness tracker. The primary components of a wearable computing device are the visual display, the computing processor and user controls.


Reducing Data Distance with Edge Computing

Big data keeps getting bigger. The bigger it gets, the more it threatens to cause network congestion and latency. An effective solution has been edge computing, in which data is processed on or near the device that captures it. Instead of sending massive data to the cloud, data can be collected from IoT devices and sent to a nearby server for storage. By shortening the distance data has to travel, edge computing helps overcome latency issues.

The essence of edge computing is to avoid transmitting data over long distances. Not only does edge computing make real-time data easier to access, but it also makes it more secure. Fusing edge computing and AI together is another cost-cutting solution called "edge AI," which is part of IIoT.


Turning to 3D Printing for Short Runs

Additive manufacturing (AM) in the form of 3D printing has made it possible for more inventors to conduct more frequent prototyping. A 3D printer can be an all-in-one manufacturing machine that generates finished products, typically in a plastic form. Other materials, including foods, can become products of a 3D printer.

A major reason why 3D printing is highly efficient and eco-friendly for short-run production is that it eliminates production waste. The machine simply builds products layer by layer without leaving residue. It's excellent for on-demand production. It's a sustainable alternative to the traditional method of producing a high volume of units that take up space and might not ever sell.

The value of the 3D printing market is expected to triple to $44.5 billion between 2022 and 2026, according to the "3D Trend Report 2022" published by Hubs. An interesting finding was that 68 percent of engineers increased 3D printing from 2020 to 2021. The use of these machines makes it possible to innovate and refine new products faster.


Replicating Factories with Digital Twins

A digital twin is a software program that generates a digital replica of a physical environment such as a manufacturing plant. It constantly updates in real-time. Digital twins are used for fixing factory problems, optimizing floor layouts and testing new devices. Combined with machine learning, digital twins can predict the performance of factory equipment or processes.

Another way to look at a digital twin is that it's a virtual representation of something from the physical world. The three elements of a digital twin are a physical product, its virtual simulation and connections between these two items. Without connectivity, digital twins would not exist.


Using GPS and RTLS for Location Tracking

Transportation companies now commonly use GPS to track fleet vehicles on deliveries to estimate arrival times. While GPS works well for outdoor applications, it still faces challenges with indoor operations. Signal interference from tall buildings and certain materials can hinder GPS performance.

Manufacturing plants and warehouses have widely adopted Real-Time Locating Systems (RTLS), which can automatically track the location of inventory units in real-time. RTLS, which is separate from GPS, encompasses radio frequency (RF) communication equipment such as transmitters and receivers. Warehouses use scanners that can locate any specific inventory product instantly, which accelerates the order fulfillment process.


Optimizing Energy Consumption

Traditional energy costs have been rising and can be very volatile. So, it's essential for manufacturers to cut energy costs in every way they can and still produce quality products that meet public demand. Smart technology helps keep energy costs under control through real-time smart metering. Managers can monitor energy consumption at any time on a smart device.

Energy and environmental concerns are at the heart of smart technology, which is all about sustainability. As the population grows, an increasing strain will be placed on traditional power generation systems. This dynamic is forcing many utilities to adopt digital transformation as a way of preventing energy losses and automating alternative energy sources when necessary.


Conclusion

Bring your company's IT knowledge base up to date by studying the latest smart manufacturing trends of the century. It will put you in touch with the technology that's poised to influence business activity for years to come.


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Immersive Technology
Virtual Reality

How Immersive Technology and IoT Take Business to a New Level

Various forms of interactive digital technology that mix the digital and physical worlds make up what is known as "immersive technology." It includes the internet of things (IoT), virtual reality (VR) and augmented reality (AR).

The combination of 5G, along with cloud and edge computing with IoT, contributes to this innovative space that expands computing capacities. Here's a look at how immersive technology and IoT can work together in a powerful way for your business.


Growing Demand for Immersive Technology

Businesses that are investing in immersive technology and IoT seek to provide diverse experience options in communication for staff, customers, partners and suppliers. The real estate industry has been at the forefront of this development, offering housing market participants a chance to experience a property for sale without visiting it physically. The use of VR headsets opens the door to panoramic and aerial views of a property that weren't possible in the past for home buyers.

Immersive technology not only has the potential to save money, but it can also expand awareness in a short time. It's excellent for training sessions because it can speed up the learning curve significantly in the manner it displays information for effortless consumption. Ultimately, VR and other immersive technologies enhance the workplace and customer experience.


5G, Cloud and Edge Computing

The advent of 5G wireless networks is helping to fuel the growth in immersive technologies by providing wider bandwidth and much faster connection speeds. Many businesses were able to continue operating during the pandemic by embracing remote work through cloud computing. The need for social distancing quickly created escalating demand for immersive technology.

With the explosion of big data transmission in recent years, businesses need to guard against clutter and network latency issues. It's not necessary to send tons of data from an IoT device to the cloud for computing if the data can be processed at its point of origin or "network edge." This concept, known as edge computing, allows for faster access to data.


Pioneers of Immersive Technology

Immersive technology, also known as XR, is being developed by some of the world's largest tech firms. Both Apple and Facebook owner Meta are releasing virtual reality headsets as part of the next generation of personal computing. It remains to be seen as to what degree headsets will become a consumer trend or norm since the price range will be from about $1500 to $2500.

Google was unsuccessful at marketing its Glass headset product to the medical industry last decade, partly because of its price and complexities. It was also prone to technical glitches and raised privacy concerns. But the company redesigned the headset with its more user-friendly enterprise edition introduced in 2017. This streamlined version has a touchpad and can respond to voice commands. Google has ventured deeper into immersive technology with its Google Earth VR software that allows you to travel the world on your computer without leaving your home.

XR streaming is a new solution in which a mobile device isn't required to use much of its computing power. Instead, computing power is provided by a local server or from the cloud. It essentially allows users to experience VR and AR content such as 3D CAD models. The data is only streamed instead of stored on mobile devices. Tech companies working on XR streaming via the cloud include Microsoft, Nvidia and Holo-Light. The idea of the scalable, pay-per-use model is attractive to businesses seeking affordable immersive solutions.


Multi-user Remote AR/VR Networking

So far, immersive technology has mainly catered to individual experiences, although interconnections are possible. It's just that AR/VR technology is still in its infancy, as interactions between individuals are slightly delayed with motion-to-photon latency. The next stage of development for immersive technology will be to facilitate practical multi-user remote AR and VR activities seamlessly. This milestone in new technology will simulate lifelike experiences, making remote group sessions even more like being in the same room. Only then will sci-fi visions of mixing physical and digital worlds start to become true.

The concept of multi-user remote AR/VR can be applied to many facets of business communication. One of the most visible areas of the market it has emerged has been online video gaming. Countless gaming sites have entered the market in recent years to get a piece of this rapidly-growing multi-billion-dollar market.

Some of the key industries that are already embracing AR/VR include retail, healthcare and tourism. Retail stores can capitalize on offering virtual experiences of products that aren't necessarily physically available in the store. Car dealerships have been very supportive of jumping into AR/VR as a way to showcase new car models without taking up massive showroom space.

Clearly, the tourism industry will benefit from AR/VR by letting people explore the world digitally before they do so physically. It will also help travelers find their way around new places. Adding IoT to these experiences collects data to help hotels and tourist attractions forecast travel revenue.


On the Immersive Horizon

Developers face the challenge of satisfying various technical requirements for seamless digital experiences. These requirements involve energy efficiency, latency, throughput and reliability. A major hurdle will be to overcome delay, jitter and data loss, which can all be perceived in multiple ways.

You will need a deterministic core network (DetNet) as the foundation to achieve the more realistic sensation of blending physical and digital worlds. This jitter-free form of packet transfer facilitates the global scheduling of packets through router buffers. Architecture for low-latency routing in the future will be based on these three pillars:

  1. Integrated network coding that minimizes latency: Distributed network coding is needed for multi-user AR/VR to ensure optimum throughput and minimal latency. Network coding can be generated by all nodes on the network. In this system, redundant coding is used only where needed.
  2. AI software for application-network collaboration: In an interactive communications system that includes machine learning software, the application can continuously monitor signal path quality through multiple channels. The AI element automatically selects the path with the best audio and video quality.
  3. Network slicing: This multiplexing architecture for virtualized networking allows independent networks to exist on the same physical infrastructure. It's useful for automatic configuration based on the demands of application providers. It runs overlay networks over radio, transport and core domains.

The key will be using a DetNet that supports Quality of Service (QoS), such as a heterogeneous 5G URLLC network. URLLC stands for Ultra-Reliable Low Latency Communications, which facilitates the shortest out of multiple paths for the most efficient data delivery. This type of network reduces end-to-end latency to just a few milliseconds. The future of URLLC networks will include improved waveform designs, coding schemes and control signaling.


Conclusion

Venturing into immersive technology and IoT can lift your business into a more seamless digital realm that intrigues your customers. The adoption of this combination will empower your business to explore VR/AR solutions that open up greater opportunities for capturing online revenue.


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