Data Gathering Scheme Based on Compressive Sensing in Wireless Sensor Networks
Zhang Ming, Zhu Jun-ping, Cai Cheng · Jisuanji gongcheng · 2012
(Abstract )Data collection in Wireless Sensor Network(WSN) research is the basic problem. This paper presents a data collection solution based on compressive sensing technique and mobile data collector. The regional scope of the incident is calculated by the analysis of spatial correlation of data, and a clustering algorithm is proposed based on residual energy of the nodes to carve up the region events. On this basis, each node senses the original data, based on the theory of compressed sensing. The data is sparse representation and observations by adopting Gaussian Random Matrix(GRM), and its observations are sent and stored in its cluster head, when a mobile collector enters the cluster head communication range, achieving the data collection. Theoretical analysis and simulation experimental results show that this scheme is energy efficient, and can effectively extend the network lifetime.