Clustering Algorithms for Wireless Sensor Networks Using Spatial Data Correlation

摘要：

In densely deployed wireless sensor networks,spatial data correlations are introduced by the observations of multiple spatially proximal sensor nodes on a same phenomenon or event. These correlations bring significant potential advantages for the development of efficient strategies for reducing energy consumption.In this paper,spatial data correlations are exploited to group sensor nodes into clusters of high data aggregation efficiency.We define the problem of selecting the set of cluster heads as the weighted connected dominating set problem.Then we develop a set of centralized and distributed algorithms to select the cluster heads.Simulation results demonstrate the effectiveness and efficiency of the designed algorithms.

作者: Chongqing Zhang BinguoWang Sheng Fang Zhe Li

作者单位: Department of Network Engineering,Shandong University of Science and Technology,Qingdao 266510,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 53-58

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）