Data Image Aggregation Technology of Traffic Wireless Sensor Network

Abstract

A wireless traffic sensor network refers to the development of low-power and low-cost traffic sensors on both sides of the vehicle and road. The ability of self-organizing nodes is used to automatically create a network for real-time and accurate monitoring, identification, and monitoring of vehicles, to obtain complete road traffic information of the entire road network for traffic decision-making, and to facilitate the flow of people. This paper aims to study an intelligent traffic detection system based on a wireless sensor network, which collects real-time data information through sensor nodes and uses the wireless network to transmit the data information to the platform for monitoring so that the driver can understand the road in real time from a long distance Information and effective road safety guarantees. This paper firstly summarizes the wireless sensor network and data image aggregation technology, then experimentally explores the data collection planning based on the spatial self-association model, and secondly designs the wireless traffic sensor network design. Through comparative analysis of traffic flow, the experimental results show that the accuracy of using wireless traffic sensors is as high as 97%. It shows that the wireless traffic sensor improves the transmission efficiency and the ability of the network to pass.