关键词: 贝叶斯压缩感知, 低功耗自适应集簇分层型协议, 算法, 信号源探测, 簇头

Abstract:

For study of the source detection areas monitored by wireless sensor network, an algorithm combining low energy adaptive clustering hierarchy（LEACH） algorithm and Bayesian compressive sensing （CS）is proposed. LEACH algorithm divides the sensors into some clusters and chooses the clusterheads. The information in the sensors is collected by the clusterheads. Only the clusterheads are allowed to transmit information to the fusion center. It reduces the number of sensors which send the information to the fusion center. The fusion center utilizes Bayesian CS to recover the source from a little measurement transmitted by clusterheads. At the same time, a threshold is set to optimize the performance of reconstruction when the data volume becomes little. Simulations show that the algorithm proposed can detect the source accurately, and obtain the good performance.

Key words: Bayesian compressive sensing, low energy adaptive clustering hierarchy algorithm, source detection, clusterhead