基于模糊压缩感知的无线传感网络拥塞控制算法

Congestion control algorithm in wireless sensor network based on fuzzy compress sensing

针对无线传感网络（WSN）的拥塞问题，提出了一种将模糊控制和压缩感知（CS）技术相结合来缓解无线传感网络拥塞的算法。首先，将压缩感知技术引进到无线传感网络的拥塞控制中，理论分析了压缩感知对缓解传感网络拥塞的效果，通过对采集数据进行压缩感知处理来减少网络冗余信息，从而缓解网络拥塞。其次，针对网络拥塞时压缩感知技术不能动态适应无线传感网络复杂环境的问题，设计了一种模糊一压缩感知的拥塞控制算法，该算法结合网络拥塞状况对压缩感知的观测矩阵维数进行动态调节，从而使压缩感知技术更好地适应传感网络拥塞状况的变化。该机制在不同的拥塞状况下能够提高网络吞吐量10％～50％，降低网络的丢包率10％～50％，减少网络时延将近5S。通过Ns2仿真表明，该机制对无线传感网络的拥塞缓解有较明显的效果。

To solve the congestion problem in Wireless Sensor Network （WSN）, a congestion control mechanism which combines fuzzy control and Compressed Sensing （CS） techniques together was proposed to alleviate WSN congestion. Firstly, compressed sensing technology was introduced into WSN to congestion control in wireless sensor networks, and the congestion control effect of CS was analyzed. It would reduce redundant information and relive network congestion. Secondly, for the problems that compressed sensing cannot adapt to the complex environment of WSN, a congestion control algorithm of fuzzy compressed sensing was designed in this paper, which combined the congestion degree of network to dynamically adjust the dimension of observation matrix, thus make the compress sensing better adapt the complex environment of WSN. The mechanism can improve the network throughput by 10% to 50%, reduce the packet loss rate by 10% to 50%, and reduce the network delay bv nearlv 5 s. NS2 simulation shows that the mechanism achieves better imnrnvement to WSNcongestion.