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Load Balance Using Compressive Sensing Theory in Large-Scale Wireless Sensor Network

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Energy resource of node is extremely limited in Wireless Sensor Network (WSN). In order to prolong the life-time of Large-scale Wireless Sensor Network (LsWSN), it is higher demanded for network to load balance and reducing energy cost in data transmission. Introducing Compressive Sensing (CS) to wireless sensor layer clustering structure network, we present a novel Multi-hop Clustering Transmission Model (MCTM), which could reduce energy consumption (EC) in data transmission and eliminate information redundancy, to realize load balance of the network. Simulation results show that, comparing with the traditional clustering topology, using CS in WSN could get better effect in EC and transmission efficiency. It prolongs the life-time of WSN, and gets important role in guiding the application for LsWSN.


Document Type: Research Article


Publication date: 2011-10-01

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