One example of how edge computing can be used in the Internet of Things (IoT) is in a smart city application.
In a smart city, sensors and other IoT devices are deployed throughout the city to collect data on various aspects of the city’s operations, such as traffic flow, air quality, and energy usage. This data is then analyzed to identify trends and patterns, and to make decisions about how to optimize the city’s operations.
Using edge computing, this data can be processed and analyzed locally at the edge of the network, near where the data is generated. This can help to reduce latency and improve the speed of data processing, as the data does not need to be transmitted over long distances to a centralized location for processing.
For example, traffic sensors placed throughout the city could collect data on traffic flow and transmit it to edge computing devices located at key intersections. The edge computing devices could then analyze the data in real-time to identify congestion and adjust traffic signals to optimize traffic flow. This could help to reduce congestion, improve air quality, and save energy.
Overall, edge computing can be a powerful tool for enhancing the capabilities of IoT systems in smart cities and other applications.