压缩感知的能量异构WSN分簇路由协议

Compressed Sensing Clustering Routing Protocol for Energy Heterogeneous WSN

针对无线传感器网络能量异构普遍存在的特点,提出了一种基于压缩感知的能量异构分簇路由协议(CSCH算法)。该算法根据异构节点能量确定多级簇头选举的概率,将簇内节点的信息集中在簇头上,而簇头对所采集的数据进行稀疏、压缩,以减少向汇聚节点传输数据的节点数和通信量,汇聚节点利用重构算法可从来自簇头的少量数据中恢复出信号源。同时设计了一种基于正态分布的权值系数,以优化在数据量过少情况下压缩感知算法的信号重构性能。仿真实验结果表明,该协议不仅能充分利用能量异构资源,均衡网络能耗,延长整个网络生命周期,而且能精确恢复信号源。

Aiming at the characteristics of universal energy heterogeneous in wireless sensor networks （WSN）, we proposed a compressed sensing clustering routing protocol for the energy of heterogeneous wireless sensor networks （CSCH algorithm）. The algorithm determines the probability of muhi-lever cluster head election by the energy of nodes, gathering the information of cluster nodes to cluster head, then uses the cluster head to dilute and compress the gathering data to reduce the number of nodes and the amount of communication of the data transmitted to the fusion center. The fusion center can restore signal source from a few data of cluster head using reconstruction algorithm. We also designed a weight coefficient based on normal distribution to optimize information reconstruction performance of compressed sensing algorithm in the case of lacking data. Simulation results show that this protocol can not only take full advantage of heterogeneous energy resources, balance energy dissipation of network and extend the lifetime of the entire network, but also accurately restore the signal source.