A New Method Based on Cluster Applied in Wireless Sensor Networks

Zhe Chen; Yanxiang He; Wenxue Yang
November 2013
Journal of Applied Sciences;2013, Vol. 13 Issue 22, p5162
Academic Journal
At present, wireless sensor networks are attracting great attention and there are many research topics yet to be studied. Data collection in wireless sensor networks research is one of the most fundamental problems. In this study, we discuss the application of a new compression technique called compressive sensing in wireless sensor networks. In order to solve the problem efficiently, we present the principle of compressive sensing. The regional scope of the incident is calculated by the analysis of spatial correlation of data, and an algorithm of clustering is proposed. On this basis, each node senses the original data, based on the theory of compressed sensing. The data is sparse representation, and its observations are sent and stored in its cluster head, when a mobile collector enters the cluster head communication range, the sensor nodes will perform the data collection. Theoretical analysis and relevant simulation comparison indicate that this approach is energy efficient, high throughput and can effectively extend the networks lifetime.


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