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How Improved Battery Life Leads to Unlimited Innovation

Extend battery life in your wearable with Wake-Up Radio from IEEE

The Internet of Things (IoT), the ability for devices in our everyday environment to connect and share information, offers amazing potential for positive impact in government, education, finance and transportation, as well as nearly endless consumer applications.

Companies are working to deploy billions of connected devices – from personal health and fitness trackers, to remote home monitoring and management systems, to community data sharing portals – that not only send alerts to your smartphone, but communicate with each other to maximize practicality and productivity. For example, imagine a fire alarm that doesn’t just beep, but shuts off your gas appliances and wakes you with an alert sent to your household phones.

However, as computing power increases, battery life becomes a problem, limiting IoT potential.

Eliminating the Limits

wake-up radio IEEE report

Extending battery life is a must for continued innovation. With the number of IoT devices projected to grow to more than 20 billion in just the next couple of years, energy conservation is critical. The trick lies in balancing power consumption with the performance of future networked devices exclusively dependent on battery power.

In order for IoT technology to flourish, especially in situations where it’s infeasible or impractical to frequently replace batteries (think pacemakers and other medical devices), a reduced need for frequent recharging or replacement of batteries is essential.

A low-power, low-latency solution will allow devices and sensors to last longer and become infinitely more useful.

Enter: Wake-Up Radio

Make IoT Batteries Last Longer: IEEE Wake-Up Radio Infographic: Significantly Improve Battery LifeWake-Up Radio removes the need to compromise between power savings and latency by reducing the significant energy waste that wireless devices cause during their idle communication mode. The radio consumes minute amounts of power while still being in a constant active or listening state. Wake-Up Radio goes into sleep mode with regular intervals in which it will wake up to sample the channel for activity.

Incorporating the additional tiny radio, which runs over Wi-Fi and uses less power, allows the main battery to last significantly longer, by up to 694 days. According to Adrian Stephens, chair of the Wake-Up Radio standards task group, the technology “is suitable for a new class of battery-powered devices that will drive innovation and exciting new applications in the market.”

Get the Report

Academic researchers have worked on wake-up receivers for close to a decade. Now, with Wake-Up Radio, innovation in IoT devices is limitless.

To learn more about the specifics of how Wake-Up Radio works and some potential uses, check out the IEEE Technology Report on Wake-Up Radio, crafted to help stakeholders better understand the potential of the technology and market. This insightful report is available for purchase at a 50% discount for a limited-time only via IEEE Xplore.

Order now! IEEE Technology Report on Wake-Up Radio: An Application, Market, and Technology Impact Analysis of Low-Power/Low-Latency 802.11 Wireless LAN Interfaces.

Resources

(16 Nov 2017). IEEE Releases Report on Wake-Up Radio Technology Aimed at Increasing Battery Life for Wireless Devices. everything RF.

Brogan, Chris. (2 Apr 2018). Learn about IoT with IEEE. Making the Brand: Customer Experience with Chris Brogan.

Mackenzie, Craig. (1 March 2014). Internet of Things device battery life optimization: Engineering design considerations. Embedded Computing Design.

Sharma, Manoj. (October 2017). Wake-Up Radio Systems: A New Perspective. International Journal of Advanced Research in Computer Engineering & Technology.

Wilhelmsson, Leif and Sundman, Dennis. (18 Dec 2017). Wake-Up Radio – A key component of IoT? Ericsson Research Blog.

An Internet of Things. Postscapes.

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Enterprise Internet of Things: Four Core Security Threats

bring your own device business IT security

Closed-circuit security cameras, smart phones, wireless printers, IP-connected energy meters, video conferencing systems. These are the type of “things” that make up the Enterprise Internet of Things (EIoT). Although the EIoT holds different weight among different companies, with IoT devices being always-on, always-connected, the risk is high for attacks.

The one constant across all businesses? The lack of a singular, straightforward solution for protecting their security infrastructures.

In order to successfully defend against EIoT security threats, you must first know what they are, then continuously monitor for them.

What to be on the lookout for

To some extent, these threats depend on the inherent weaknesses of IoT devices, but core vulnerabilities relating to the EIoT include:

  1. Expanded attack surface. More physical devices are being added to the internet daily, which further opens up entry points for attackers to explore. The proliferation and ubiquity of these devices in the enterprise offers would-be attackers more chances to eventually access a company’s broader security architecture.
  2. Data privacy and protection. Many applications collect confidential or proprietary data, of which its transmission, storage, and retrieval needs to be secure for both business and regulatory reasons. If internet-connected devices or interfaces do not require authentication prior to granting access, they’re that much easier to exploit. As a result, sensitive or even embarrassing information can be leaked.
  3. Botnet recruitment. If an IoT device is poorly safeguarded, it is susceptible to botnet recruitment. This impairs performance and can ultimately harm reputation in the long-term.
  4. Attacks on IoT-enabled processes. People wanting to disrupt a given business’s activities have more devices, applications, and frameworks to target. For example, via denial-of-service (DoS) attacks or by compromising and/or disabling individual devices. Compared to other types of hacks, DoS attacks can deplete a company’s most valuable resources: time and money.

Plan to fail, but with proper preparation

Developing EIoT applications with security top of mind, making existing IT security function more efficiently, and advancing a few novel ideas can all help shield EIoT deployments from security breaches.

But let’s be realistic: a security breach is not a matter of “if,” but “when.” Companies, and IT teams especially, must be skilled in containing the damage and helping the system to quickly recover. Adopting some new ideas can protect firms from EIoT threats.

IEEE offers three ways to prepare: The IEEE Guide to Internet of Things, Cyber Security Tools for Today’s Environment, and Hacking Your Company: Ethical Solutions to Defeat Cyber Attacks.  These learning programs ensure an organization’s technical staff is up-to-speed on the latest developments in IoT, so they can be securely integrated into operations.

Resources

Kerner, S. (28 Dec 2017). Security Flaws Found in Sonos Internet Connected Speakers. eWeek.

Paul, F. (27 Dec 2017). Can IoT help make the enterprise more secure? Network World.

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Blockchain: 2017’s Biggest Tech Trend?

Blockchain for Security, Transparency IEEE

To stay innovative, companies must constantly anticipate the next big disruption to their industry. This year, millions of dollars were invested in developing blockchain. While many business and IT leaders have heard how they need to get in on the blockchain game (Harvard Business Review’s advice to managers: start experimenting ASAP), it’s still not entirely clear how blockchain could benefit their businesses. While the most obvious application for it is to process financial transactions, enterprises and vendors like Amazon and Apple are exploring lots of other uses for the technology. MIT Media Lab is even using blockchain to issue academic certificates.

Having influential international organizations like the World Economic Forum weigh in has also helped boost blockchain’s profile. In June it said this emerging technology was on the cusp of “a new era of the Internet even more disruptive and transformative than the current one.” Blockchain’s “ability to generate unprecedented opportunities to create and trade value in society” means companies must think about current business models, maybe even revisit previously impossible opportunities, in order to leverage blockchain to impact the bottom line.

Forecasting for the long-term, researchers from Gartner had similar big beliefs about blockchain, claiming it “…will lead to a reformation of whole industries.” 

Other buzz about blockchain has come from increasing adoption within the IoT security space. Highly prized for its transparency and traceability, blockchain gained traction among IT and technical professionals in light of the ever-growing risk of unsecured devices being compromised.

It’s true that blockchain had a big year, and it’s certainly here to stay. If organizations are looking to unlock new business opportunities in the blockchain era, they must be agile enough to reinvent themselves at speed. Otherwise, they could get left behind.

Resources:

Iansiti, M. & Lakhani, K. (Jan-Feb, 2017). The Truth About Blockchain. Harvard Business Review.

Panetta, K. (17 Aug, 2017). Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017. Gartner.

(28 June, 2017) Realizing the Potential of Blockchain. World Economic Forum.

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A Solution to Latency in IoT Devices

IoT Latency Solution IEEE Wake-Up Radio

In 2016, a PwC survey of 1,000 U.S. consumers found:

  • 45% reported owning a fitness band
  • 27% a smartwatch
  • 12% smart clothing

Furthermore, 57% said they’re excited about the future of wearable technology as part of everyday life. In order for the full power of these devices to be realized, however, it is important to ensure that latency isn’t a problem.

The Latency Problem with Internet of Things (IoT) Devices

The challenge with IoT devices is that they run on batteries. This makes them convenient…no one wants to be tethered by a cord. But it also brings challenges. In order to preserve the lifespan of batteries, IoT devices systematically wake up from sleep mode to retrieve new information. The longer the device is asleep, the less power it consumes. This also means that there are fewer opportunities for information to be exchanged. This impacts the performance of the device, causing it to run slower (known as latency).

In today’s devices, low power consumption and low latency are in conflict with one another. Because of the advent of Internet of Things technologies, however, finding a low-power, low-latency solution is of the utmost importance.

IEEE Technology Report on Wake-Up Radio - Buy Now!The Most Viable Solutions to Latency

There is a great deal of research going on right now in the low-latency low-power field, with two dominant solutions emerging: Wake-Up Radio (created by IEEE 802.11ba standards working group) and Bluetooth Low Energy (Bluetooth Smart). In this context it’s worth noting that Bluetooth Low Energy is not the same as the Bluetooth prevalent in today’s consumer devices. Rather, it’s a new technology needs to be included in devices moving forward in order to take advantage of Bluetooth Low Energy.

Internet of Things device manufacturers must be cognizant of their options when it comes to these technologies. If your company is considering Internet of Things devices, it’s essential that you understand how Wake-Up Radio works, and how it may impact your products and your business, especially if the device will run on IEEE 802.11 (Wi-Fi®).

Based on work of the IEEE 802.11ba standards task group, the IEEE Technology Report on Wake-Up Radio highlights current and projected developments in this groundbreaking technology that allows devices to achieve low power and low latency at the same time, greatly reducing the frequent recharging or replacement of batteries. This report is especially useful for helping manufacturers analyze and prepare for the implementation of Wake-Up Radio when the standard is finalized within the next 2-3 years.

To purchase your copy of the IEEE Wake-Up Radio Report, click here. Or, contact an IEEE Content Specialist about an institutional purchase of the report.

Resources

16 Aug. 2016. IoT Facts and Figures. What’s the Big Data.

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Introduction to Predictive Maintenance

Introduction to Predictive MaintenanceAs the Industrial Internet of Things continues to grow, predictive maintenance technology is transforming industries by evaluating the condition of equipment, determining if and when maintenance and repairs are needed, and preventing failures from happening in the first place.

Since it’s estimated that the Internet of Things will be connected to 80 billion devices by 2025, it’s important to invest in performance-predicting technologies now to improve safety and reliability. (Kerravala, 2017)

How It Works

If the Internet of Things had its own “fight or flight” response, it would be predictive maintenance. It observes the start of a mechanism malfunction or deterioration, with the express goal of correcting said malfunction or deterioration before significant degradation in the component or equipment occurs. (McKinsey Global Institute, 2015). The result can be a significant increase in productivity and return on investment.

Predictive technology is helping many businesses and public services run faster, more efficiently, and cost effectively. The diagnostic capabilities of predictive maintenance technologies have increased in recent years, thanks to advances made in sensor technologies.

Take the city of Chicago for example, which in late 2016 deployed predictive technology to take out the trash — literally. It relied on smart sensors to help determine which dumpsters needed emptying and when, thus keeping the city cleaner and its residents happier. By utilizing connected technology to yield previously unobtainable data on waste management without significant human time investment, stress-ridden “what happens when…” possibilities can quickly become a thing of the past. Just ask Chicago’s sanitation workers.

Collaboration Is Key

As always, when any new technology is introduced, proper training is required to ensure it is applied appropriately. This is particularly true when it comes to the field of predictive maintenance technology, as its level of sophistication continues to evolve each and every day.

It’s important for professionals working in engineering, IT, computer science and related fields across all industries to be trained in the Internet of Things. For more information, check out the online course program IEEE Guide to Internet of Things.

Imagine living and working in an environment where technology is fixed even before it breaks. It’ll be here before you know it.

Resources:

McKinsey Global Institute. (2015, June). Unlocking the potential of the Internet of Things. McKinsey & Company.

Kerravala, Zeus. (2017, Dec. 4). DDI is a critical component of IoT success. Network World.

Newman,  Daniel (2017, 5 Dec.). 3 Areas The IoT Will Impact You Without You Even Knowing. Forbes.

Sisson, Patrick. (2016, Sept. 7). Chicago’s new smart sensor network is a game changer for city data. Curbed.

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Managing IoT on the Edge

edge computing internet of things (IoT)As Internet of Things (IoT) devices proliferate, so does the data that they produce. As more and more data is produced, organizations are finding it to be a costly endeavor to send, process, and store all of this data in the cloud. In fact, some organizations don’t even have the connectivity within their infrastructure to send large amounts of data to the cloud. (Anderson, 2017) Reliance on cloud computing alone also slows down device performance, as bandwidth constraints constrict how much data can be sent and received. Cloud computing alone cannot efficiently handle the IoT. This is why edge computing is becoming a critical factor in IoT deployments.

Edge computing moves data processing from the cloud to hardware on the “edge” of the network. By keeping the data processing local, latency is minimized, which is critical for deployments where real-time processing and time-sensitive decisions are mission critical. Artificial intelligence can help parse data and trigger local actions, such as scheduling maintenance with a facility that has the necessary parts, or deciding when a safety alert needs to be sent. Monitoring, diagnostics, performance optimization, and predictive maintenance are all functions that benefit from an edge computing solution.

In addition to reduced latency, there’s another key benefit to edge computing. It is estimated that the cost of a combined edge and cloud infrastructure is 1/3 of the cost of a cloud-only solution. (Gaunt, 2017) Most of this cost savings is realized through the reduction of bandwidth requirements and computing resources.

Of course, when moving to the edge, security is a critical factor. Cyber security must be deployed in both hardware and software to protect an organization’s data and hardware. As the cyber security of Internet of Things devices continues to develop, it is essential that IoT device manufacturers take into account the fact that some processing will occur on the edge, and build in security measures, including the ability to install updates as needed. Yet the edge may even be more secure than the cloud, as it is by its very nature decentralized. It is more complex for a cyber attacker to hack the decentralized edge, than the more centralized cloud.

Edge computing offers exciting opportunities for IoT development, and the intelligent processing of data that these devices produce. Investment of infrastructure to support the edge will continue, and should yield strong returns for organizations, both financially, as well as through better use of data.

To learn more about the Internet of Things, check out our online course program IEEE Guide to the Internet of Things.

 

References

Gaunt, T. (20 Nov, 2017). Pushing IoT to the Edge. Networks Asia. 

Anderson, J. (17 Nov, 2017). Managing IoT with Edge Computing. Network Computing.

Figueredo, K. (15 Nov, 2017). Edge Computing and AI: From Theory to Implementation. IoT Agenda.

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Powering Predictive Maintenance

Powering Predictive Maintenance from IEEE Innovation at WorkPredictive maintenance is one of the most compelling use cases for the industrial Internet of Things (IIoT). In fact, according to IBM, predictive maintenance can prevent up to 70% of equipment breakdowns, and reduce downtime by as much as 50%.

In the IEEE Technology Report on Wake-Up Radio (IEEE, 2017), this use case is highlighted as one of the biggest market opportunities in the next five years, impacting industries such as shipping and logistics, process industries, discrete manufacturing, utilities, and healthcare. Even governments are taking advantage of predictive maintenance: The United States Department of Defense just announced that it will use C3 IoT’s platform to develop artificial intelligence tools for predictive maintenance of assets. (Dignan, 2017)

As organizations begin to take advantage of predictive maintenance, the practical matter of deployment comes into play. Not every device and sensor used for predictive maintenance can be wired. Wireless applications are numerous, and powering those deployments in a sustainable way is critical.

That’s where IEEE Wake-Up Radio comes into play. This upcoming standard, being developed by the IEEE 802.11ba standards task group, will significantly increase battery life in Internet of Things devices. The energy savings is significant, increasing the life of a single battery by years. This reduces costs even further for organizations that seek the benefits of predictive maintenance, both in terms of the cost of the batteries themselves, as well as in the man-hours needed to physically change the batteries. Depending on the number of devices and sensors deployed within an organization, the cost savings can be significant.

The development of predictive maintenance devices and sensors needs to take IEEE Wake-Up Radio into account when planning future devices. If the devices will be connected via 802.11 (Wi-Fi®), then IEEE Wake-Up Radio is required in order to stay competitive in a crowded market.

To learn more about IEEE Wake-Up Radio, check out the IEEE Technology Report on Wake-Up Radio, available now.

 

Resources

IEEE. (November 2017) IEEE Technology Report on Wake-Up Radio: An Application, Market, and Technology Impact Analysis of Low-Power/Low-Latency 802.11 Wireless LAN Interfaces. IEEE Educational Activities and IEEE Standards Association.

Dignan, L. (November 2017). C3 IoT Lands Department of Defense Deal for Aircraft Predictive Maintenance. ZDNet. 

 

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Industry IoT Growth Trends

Industry IoT Growth TrendsThe adoption of Internet of Things (IoT) systems for business continues to rise. In a recent study of manufacturing, transportation, and oil and gas organizations, 86% say that they are adopting IoT solutions, and 84% believe they are very and extremely effective. (Hedge, 2017) In this article, we take a look at some of these IoT growth trends, and what is driving them.

According to a recent Technavio report, the industrial wearables market is forecast to grow over 10% through 2021. (Burns, 2017) What is driving this growth? There are three trends that we see:

  • Digitalization and automation
  • A focus on workplace safety and efficiency
  • Growing adoption of smart sensors

One interesting example of an industrial wearable is smart glasses. Smart glasses allow an industrial worker to see not just the physical plant, but also computer generated images and sound over the plant. Imagine looking at machinery and seeing the placement and operational status of every sensor. This type of Industrial Internet of Things (IIoT) device eliminates the need for workers to carry additional electronics such as tablets and cameras.

Another recent study of IT professionals found that 77% of companies that have invested in IoT systems have adopted IoT security services, which is another of the IoT growth trends we’re seeing. (Reisinger, 2017) In fact, the top three reasons these IT professionals say they have invested in IoT solutions include:

  1. An opportunity to boost security
  2. Improve operational processes
  3. Reduce costs

Given the fact that IoT security is such a pressing issue, it is interesting that IT professionals see IoT systems as an opportunity to boost security. Perhaps the increased focus on IoT security enables IT professionals to bring a renewed focus on many security practices within the organization, and are the driving force behind this as one of the IoT growth trends.

In the industrial sphere, however, 90% of IIoT adopters say that the primary reason that they have adopted IIoT solutions is device health. IIoT devices enable industrial users to monitor and greatly improve the efficiency of their operations. In fact 73% plan to increase their investment in the IoT over the next 12 months.

Several of these studies note, however, that there is still opportunity to make greater investments in deep data analytics. Beyond the efficiencies generated by IoT devices, a great deal of data is also created. By investing in the artificial intelligence/deep learning systems that can make intelligent use of this data, organizations can experience even greater rewards from their investment in the internet of things.

Would you like to learn more about the Internet of Things? Check out the IEEE Guide to the Internet of Things. This 8-course online learning program will help you learn the foundations of the Internet of Things, and help you get started in this growing field.

 

Resources

Reisinger, D. (2017,  13 Nov.)  Study Finds Internet of Things Will Continue Rapid Growth Rate in 2018eWeek.

Hedge, Z. (2017, 13 Nov.) New Research Shows Industrial Organisations Increasingly Focused on IoT Adoption, but Most are Still in Early StagesIoTNow.

Burns, M. (2017, 11 Nov.) IoT-enabled Industrial Wearables Market – Drivers and Forecasts by Technavio. The Daily Telescope.

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IoT Data Needs Artificial Intelligence

IoT Data Needs Artificial IntelligenceInternet of Things (IoT) devices produce massive amounts of data. From environmental and logistics data in the industrial IoT, to health data in your wearable, the IoT data being produced by billions of devices on a daily basis is far greater than human beings can process alone. In fact, according to Forrester, as much as 60-73% of data within an enterprise goes unused for analytics. All of this valuable information may just be sitting idle in data warehouses and lakes. (Barzilay, 2017)

Think about what could be done if IoT data was used and optimized. People could make better decisions. Resources could be more efficiently deployed. Money could be saved while improving the human experience. In short, better use of the data already being collected could vastly improve the lives of people and organizations. And we might even get smarter about the data we could/should be collecting, because not all data is useful. But how do we decide if we don’t have the capacity to look at all the data?

Enter artificial intelligence. Artificial intelligence and the Internet of Things (IoT) were practically made for each other, and can help us understand the context of the information that is collected. (Bergey, 2017) Normal algorithms alone are not sophisticated enough to manage the vast streams of IoT data. The information must be collected and analyzed, often at the edge of networks, rather than in the cloud, so that better decisions can be made.

According to Bergey, “Artificial intelligence is an example of massive real-time processing at the edge, enabling machines to perform human-like tasks. The in-machine sensors read, compare and physically map machine or robotic data to its environment, and include analysis and intelligent algorithms that look for patterns in the data, and will alert operators to anomalies and opportunities for process improvements that can save a manufacturing operation significant time and money.”

Another issue is data storage. Without artificial intelligence, we could be incurring the costs of storing and securing massive amounts of data that is essentially meaningless. It is much more efficient to use artificial intelligence systems to decide which data is important and worth processing/keeping, and which data can be discarded without consequence.

As Internet of Things devices continue to grow and proliferate, it is essential that artificial intelligence grow alongside them, managing the data flow and helping humans better manage the data they have. When deployed effectively, artificial intelligence systems can help improve the human experience while reducing the storage of meaningless information that simply wastes resources. The IoT needs artificial intelligence, and will be vastly improved through its implementation.

Want to learn more about the Internet of Things? IEEE offers an 8-course series called IEEE Guide to the Internet of Things.

 

Resources

Barzilay, O. (2017, 2 Nov). Can Blockchain and AI Accelerate the Arrival of the IoT Economy? Forbes.

Bergey, C. (2017, 2 Nov). Data Context vs. Content in an IIoT Environment. IoT Agenda. 

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Powering the Industrial Internet of Things

Powering the Industrial Internet of ThingsThe Industrial Internet of Things (IIoT) has the potential to revolutionize industry. With use cases that promise to increase capacity and efficiency while lowering costs, IIoT technology is a smart investment that pays off quickly.

Some of the use cases that hold huge potential include predictive maintenance, which helps keep assets up and running, avoiding downtime and costly routine maintenance when it isn’t warranted. (Tracy, 2017) The safety of industrial spaces improves as sensors provide alerts about unsafe conditions. Assets can be tracked easily, making it easier to locate and move goods efficiently while monitoring inventory. Fleets can be deployed efficiently where they are needed, reducing overall resource consumption while maximizing impact. In short, IIoT devices and sensors can make it easier and more efficient to do business, creating safer, more productive environments.

IIoT devices and sensors often need to function in hostile environments, however, and can be expected to work 24/7. They are tucked away in hard-to-reach places and are increasingly smaller. Environmental conditions around the device or sensor can be very hot or cold, and sometimes humid or dusty. For example, machines may reach 150°C in a plastic packaging plant, or have to withstand freezing temperatures near a pipeline in Alaska. (Pasero, 2017) It is much more feasible to have devices that run on batteries, and those batteries need to last as long as possible. The challenge is that, while IIoT devices and sensors are often designed to last for 10-15 years, their batteries only last 2-3 years. Given that the IIoT market is expected to grow to 75.4 billion devices by 2025, that’s a lot of batteries that need charging and replacement. (Columbus, 2016)

Fortunately, there is a solution that can help to extend battery life in the Industrial Internet of Things. IEEE has just released the IEEE Technology Report on Wake-Up Radio. This technology, under development right now by the IEEE 802.11ba standards working group, can increase the battery life of an IIoT device by up to 94%. This can add years to the life of a battery, and in turn an Internet of Things device. The duty-cycled IEEE Wake-Up Radio is added to the device, which only wakes up the device when it is needed. By maintaining a longer sleep state, the battery lasts longer. The result is cost savings, improved efficiency, and longer device life.

The Industrial Internet of Things will continue to grow because it brings such powerful return on investment. But powering the Industrial Internet of Things must be planned for, in order to reap all of the benefits this technology can provide. IIoT device manufacturers need to plan now to integrate IEEE Wake-Up Radio into their devices, and the IEEE Technology Report has the information organizations need to gain this competitive advantage.

Order your copy of the IEEE Technology Report on Wake-Up Radio today, or request information about organizational pricing.

 

Resources

Philip, T. (April, 2017). The Top 5 Industrial IoT Use Cases. IBM Internet of Things Blog.

Pasero, D. (2017) Powering sensor nodes for industrial IoT. Power Electronics News.

Columbus, L. (November, 2016). Roundup of Internet of Things Forecasts and Market Estimates. Forbes.

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