University of Pittsburgh researchers explore enabling lag-free connections in massive IoT devices
Researchers at the University of Pittsburgh's Swanson School of Engineering have proposed a system that would use resources that are currently under utilised in an existing wireless channel in order to create more opportunities for lag-free connections.
The system will require no additional hardware or wireless spectrum resources and will minimise traffic backups on networks with several wireless connections.
Dubbed ‘EasyPass’, the method would exploit the existing signal-to-noise ratio (SNR) margin, and use it as a dedicated side channel for IoT devices. Testing so far has demonstrated a 90% reduction in data transmission delay in congested IoT networks.
“The network’s automatic response to channel quality, or signal-to-noise ratio, is almost always a step behind,” said Wei Gao, associate professor in the department of electrical and computer engineering at the University of Pittsburgh. “When there is heavy traffic on a channel, the network changes to accommodate it. Similarly, when there is a 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.”
As per Berg Insight’s latest forecast, the public transport market for intelligent transportation systems (ITS) in Europe and North America will reach £3.14b by 2023. In Europe, the market value for ITS deployed in public transport operations was £1.32b in 2018. It is expected to reach £1.83b, growing at a CAGR of 6.8 per cent by 2023. In the same way, North American market for public transport ITS is forecasted to increase at a CAGR of 7.3 per cent from £910.7m in 2018 to reach £1.29b in 2023.
Additionally, ABI Research’s latest smart cities market data report has predicted that by 2026, smart utility metering and video surveillance will hold an important portion of the smart city segment, with the number of connections representing 87 per cent of the total number of smart city connections. As per the report, though surveillance cameras with embedded AI computing capabilities from vendors like NVIDIA are already being deployed, low latency 5G connectivity will allow real-time local response management in the future by utilising powerful cloud-based AI capabilities.
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