国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Traffic congestion monitoring devices based on sensor nodes have poor data processing capabilities in massive three-dimensional traffic information, resulting in high delay in monitoring targets. To alleviate the pressure of traffic congestion on travel and evacuate congested areas in a timely and effective manner, this paper designs a fast monitoring method for road traffic congestion sensor nodes based on improved DV-HOP.Install wireless electromagnetic sensors in the area to be monitored, divide sub nodes and Sink nodes, initialize local node data memory, timing counter and other equipment, and collect vehicle traffic conditions and overall length according to the wireless sensor network; Take the abnormal road data as a small probability event, establish the rate collection cycle and the traffic state collection cycle, calculate the average value of the historical vehicle speed and the variance of the traffic data, set the congestion threshold, and analyze whether there is congestion on the road section; Initialize the road traffic congestion nodes, determine all road traffic congestion nodes, and then transform the three-dimensional road traffic congestion nodes into two-dimensional coordinates to achieve the two-dimensional transformation of road traffic congestion nodes. Improve the particle swarm optimization method, use the improved DV-HOP algorithm to obtain the location information of road traffic congestion nodes, and obtain the monitoring results of road traffic congestion nodes. The experimental analysis shows that the equality coefficient value of this method can reach 0.998, and the data transmission delay is only 3.5s, indicating that the traffic congestion monitoring accuracy is high.