The Research of Reducing Energy Consumption Method on WSN Based on the Data Correlation
Sun Su-jing, Cui-jian Zhao, Peng Guo, Xiaoqing Li · Atlantis Press eBooks · 2015
Application of wireless sensor network is very broad. It usually works under mal-environment, so reducing energy consumption is very important in the aspect of network management because of limited energy supply. The wireless sensor network is usually divided into DWSN and CWSN. CWSN is evolved from DWSN. On the basis of the distributed sensor network structure, the nodes’ clustering is mainly according to the regional relationship, without considering the data relationship. But so many nodes in WSN make the time and spatial relationship existence between them. That is data correlation. According to DWSN structure, the nodes clustering are based on the data correlation in this paper. Some nodes hibernate by turns in the same cluster. This method can bring the redundant data uploading and the energy consumption down. The experiment proves that the energy consumption reduction is very obvious.