The optimized clustering technique based on spatial-correlation in wireless sensor networks

In this paper, we propose an optimized clustering technique based on spatial-correlation in wireless sensor networks (WSN). It combines the advantages of clustering technique with spatial-correlation. It can avoid the impact of unexpected data on the results and get approximate results in a tolerant error by using similarity degree to construct clusters. Moreover, for only cluster-heads transmit data to sink node, it can reduce the messages sent in WSN a lot. It includes four parts: clusters construction, cluster-head election, clustering routing and clusters maintenance. Simulation results show that the approach is energy efficient and has lower average relative error than other approaches.