The Study Of Congestion Control Algorithm Of Wireless Sensor Network In Traffic Information Collection

Traffic Information Collection, which is the basis of traffic state judgment, traffic flow control and quick emergency response, occupies an important position in the transportation system. While the wireless sensor network (WSN) is a new information acquisition and processing technology. Thanks to the excellent features of low cost, convenient local management and easy expansion, the WSN gains widely attention in recent years. It is used in intelligent traffic information collection, which effectively ensures the high efficiency of intelligent transportation system. Since the WSN has properties of many-to-one communication pattern, mutual interference of wireless links, and dynamic change and resource-constrained networks, which makes the wireless sensor network easy to congestion and results in increased information transmission delay, data loss and rapid energy expenditure, seriously affects the service quality of the network. Therefore, to improve the reliability and real-time capability of traffic information collection, we must relieve the congestion of wireless sensor network.WSN is used in the local network of traffic information collection system in this article, which greatly reduces the maintenance costs and improves the efficiency of the traffic information collection. This article introduced and analyzed in detail for the wireless sensor network, based on the analysis of the application of wireless sensor network in intelligent traffic information acquisition system, and the design of the wireless sensor network intelligent traffic information collection system based on the networking scheme. In the analysis of the scheme of network scale, the final analysis of the congestion problem may exist in the scheme.A high-performance congestion control algorithm (HPCC) is proposed to improve the reliability and real-timeness of wireless sensor networks for traffic information collection system. The algorithm defines congestion predict state index according to queue occupancy rate and congestion duration for solving the problem of accurately predicting the network load in the single congestion detection condition. HPCC predicts the trend of congestion by the judgment of congestion state index. The algorithm builds selection model by the theory of TOPSIS to avoid network paralysis caused by the optimal path failure. It establishes the temporary best path around the congestion nodes to flow schedule and considers node congestion degree, the remaining energy, the distance from the original path hop and the channel access rate as the next-hop node selection. The experimental results show that the algorithm can more effectively and accurately detect congestion, reduce the delay and decrease the network energy consumption. So the fidelity of the data is obtained.