Differential Game Based Centralized Clustering Algorithm for Wireless Sensor Networks

摘要：

Clustering is an effective approach for managing nodes in wireless sensor networks(WSN). In this paper, we consider selfish avoidance clustering in WSN. A differential game model is proposed to stimulate forwarding. Based on the payoff value of the differential game, called Forwarding Contribution(FC) in this paper, a centralized clustering algorithm is proposed. Mathematical proof shows that our algorithm can ensure connection between cluster heads(CHs), and also shows that FC value can reasonably reflect energy consumption in terms of competition while considering forwarding efficiency. simulation on the lifetime of network is performed, and the results illustrate that our algorithm is selfish avoidance while the clustering approaches according to residual energy are seriously influenced by selfishness.

关键词： vrireless sensor networks clustering differential game selfish avoidance

作者: Lin Lin Zhou Xianwei Deng Yu Du Liping Ma Zhonggui

作者单位: Department of Communication Engineering University of Science and Technology Beijing Beijing,P.R.Chi Department of Electronics University of York York,UK

会议类型: 国际会议

会议名称: 2009 First International Conference on Future Information Networks(第一届未来信息网络国际会议)

会议地点: 北京

会议语种:英文

页码: 135-140

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）