A new method based on cluster applied in wireless sensor networks

作者：Chen Zhe^*; He Yanxiang; Yang Wenxue

来源：Journal of Applied Sciences, 2013, 13(22): 5162-5167.

DOI：10.3923/jas.2013.5162.5167

• Clustering
• Compressive sensing
• Data gathering
• Spatial correlations
• WSNs

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.

• 出版日期2013