【摘要】 提出了一种基于压缩感知和双簇头交替的无线传感器网络分层路由算法CS-DC HA(Compressed Sensing-Double Cluster Head Alternation)。该算法对DCHS(Deterministic Cluster-head Selection)算法进行改进,利用压缩感知理论优化稀疏采样过程;采用双簇头交替方法进行路由选择,进而实现减低能耗;同时以贝叶斯算法进行稀疏信号重构。通过实验可以看出,相比于传统的无线传感器监测网络,CS-DCHA算法保证了在一定的信号重构精度条件下,能降低无线传感器网络的能耗并延长其生存时间。更多还原

【Abstract】 An energy efficient routing algorithm in Wireless Sensor Networks( WSNs) named CS-DCHA was proposed based on Double Cluster Head Alternation( DCHA) and Compressed Sensing( CS). This CS-DCHA improves the algorithm of Deterministic Cluster- Head Selection( DCHS) by applying CS in the sparse sampling process. CS-DCHA can distribute the energy load evenly during the transmission by using DCHA. And Bayesian Compressed Sensing( BCS) algorithm is used to approximate the recovery of the original signal with a lower signal reconstruction error. The simulation results show that the CS-DCHA algorithm can help to save more energy and expend the lifetime of WSNs significantly,in the case that the precision of signal reconstruction reaches a certain level.更多还原