A Data Correlation-based Wireless Sensor Network Clustering Algorithm

摘要：

Clustering is an energy efficient method for wireless sensor network monitoring. Existed algorithms are mostly location-based, where physical temporal-spatial correlations are considered, leading to a poor data compression rate. This paper proposes a novel data correlation based clustering approach. A greedy algorithm, minimum degree first clustering algorithm, is introduced to cluster the sensor network. To deal with correlation failures, periodic re-clustering and failure-sensitive delta clustering are proposed. The experimental results show the proposed algorithm can prolong the net work data compression rate of cluster head and the data restoration rate of base station. The network life time is prolonged as well.

关键词： wireless sensor network clustering data correlation data compression

作者: Jianhua Lu Baili Zhang Li Xu

作者单位: School of Computer Science & Engineering, Southeast University, Nanjing, P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 61-65

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）