Internet of Things flat iconic illustration thing object
To reduce the risk of lag, researchers at the University of Pittsburgh have proposed a system that would give IoT devices a side channel to avoid slowdowns.
As more Internet of Things (IoT) devices enter into the workplace, networks may become congested and lead to lagging connections. This may cause critical failures if the data is not sent over quickly, which could lead to delays and accidents.
To reduce that risk, researchers at the University of Pittsburgh have proposed a system that would give IoT devices a side channel to avoid heavy traffic slowdowns.
SEE ALSO: Cisco Announces New Industrial IoT Security Platform
In a paper titled “EasyPass: Combating IoT Delay with Multiple Access Wireless Side Channels”, the team shows IoT devices deferred from a business’s main network to an exclusive channel. This channel is only utilized at times when traffic is high, reducing networking costs.
“The network’s
automatic response to channel quality, or the signal-to-noise ratio, is almost
always a step or two behind,” said Wei Gao, associate professor in the
Department of Electrical and Computer Engineering at the University of Michigan.
“When there is
heavy traffic on a channel, the network changes to accommodate it. Similarly,
when there is lighter traffic, the network meets it, but these adaptations
don’t happen instantaneously. We used that lag—the space between the channel
condition change and the network adjustment—to build a side channel solely for
IoT devices where there is no competition and no delay.”
In lab tests, EasyPass
has managed a 90 percent reduction in delay over a network with 100 IoT
devices. The researchers are looking forward to implementing the system in
real-world tests soon.
While factories and
industrial operations may be fine with a few seconds of data delay, smart
buildings and hospitals may require a super-fast, uncongested network for IoT
deployment. EasyPass may be one route these operators could look into.
David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
