Researchers at the University of Pittsburgh have discovered a way to provide lag-free connectivity for IoT (Internet of Things) devices. The new method does not need an additional hardware or signal source to minimize latency.
One of the most important technological developments today is undoubtedly IoT, the Internet of Things. Although this technology offers convenience in most of life, it has some limitations. “Delay” comes first. So when you send a command to do the process, the device can detect it for a few seconds, which can cause serious problems sometimes.
Researchers at the University of Pittsburgh Swanson Engineering School have proposed a new system for lag-free connections to leverage the resources currently being used on an existing wireless channel. This system, which does not require additional hardware or wireless signal sources, aims to minimize traffic backups on networks with various wireless connections.
The new method does not need additional hardware:
The method, called EasyPass, uses the current SNR (signal / noise ratio) value as a special side channel for IoT devices. Tests to date showed a 90% reduction in data transmission latency in tight IoT networks. This is a serious improvement that cannot be overlooked.
When a channel has heavy traffic, the network changes to suit it. Similarly, when there is lighter traffic, the network will meet this, but these operations will not happen instantly. From the Department of Electrical and Computer Engineering, University of Pittsburgh, Assoc. Dr. Wei Gao says they use this delay to create a side channel on IoT devices.
According to the latest reports, the market value of smart transportation systems (ITS) used in public transportation in Europe reached £ 1.32 billion in 2018. This number is expected to reach £ 1.83 billion by 2023. However, the report on smart cities, published by ABI Research; He says that by 2026 security camera systems will become an important part of the smart city concept.
According to the report, companies such as NVIDIA have built-in security cameras with artificial intelligence computing capabilities; It will make a difference in real-time applications in the future, using already low latency 5G connectivity and cloud-based AI capabilities.