Study on Clustering Algorithms in Wireless Sensor Networks Based on K-means
Qing-Yun Jiang · Computer and Modernization · 2012
A clustering algorithm based on K-means clustering for WSN is proposed.Since the questions of the determining number of the best clusters,the choice of initial cluster centers and objective function are settled,then the sub-clusters of WSN can be achieved with the K-means clustering algorithm.Finally,evaluating the sub-cluster algorithm performance and simulating it which shows that the WSN clustering algorithm based on the K-means clustering can not only save energy and prolong the life of the network,but also improve the energy consumption of a balanced network and ensure uniform distribution of the clustering heads.