压缩感知和LEACH结合的水下传感器网络信息采集方案

由于水下传感器网络特殊的工作环境，节点能耗是其至关重要的问题。针对这一问题，本文提出一种LEACH和压缩感知相结合的水下传感器网络信息采集方案(CS_LEACH)。根据LEACH协议对网络节点分簇后，簇内节点可以以概率q决定是否参与感知数据，簇内感知到的数据加权叠加后，由簇头传输至Sink节点。在Sink节点，利用压缩感知重构算法进行信息重构，从而得到监测区域的信息图谱。理论分析和仿真结果表明，与传统的LEACH协议相比，CS_LEACH方案在保证重构精度的前提下，大大节约了节点能量，延长了网络生存周期。

Information Collection Scheme in Underwater Sensor Networks with Combined Compressed Sensing and LEACH

Due to the special applying environment, node energy consumption is a critical issue to underwater sensor networks. To solve this problem, an information collection scheme (CS_LEACH) for underwater sensor networks is proposed in this paper, which combines LEACH protocol with the new emerging compressed sensing theory. After the network nodes are clustered according to LEACH protocol, a node in a cluster determines whether it will participate in the sensing process, which occurs with a certain probability p. Then, all cluster heads send the weighted sum of the gathered data in each cluster to the Sink node. Sink node reconstructs the original information map of the concerned area using compressed sensing reconstruction algorithm. Theoretical analysis and simulation results show that under the premise of ensuring the reconstruction precision, the proposed CS_LEACH scheme greatly saves node energy and prolongs network life-time compared with the conventional LEACH protocol.