Abstract:  

Abstract:  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.

Key words:

 Key words:  wireless sensor network, traffic information collection, flow schedule, congestion control, channel access rate

CLC Number: 

• TP393