A Mobile Wireless Sensor Networks Prediction Algorithm based on Clustering

摘要：

This paper researches the problem of energy efficient optimization for the measurement of wireless sensor nodes. Based on Clustering, the metric of network measurement coverage and communicate energy consumption are established. In this paper, we propose a Distributed Clustering Algorithm (DCA) which is based on the use of predicted combined criteria metric. In DCA algorithm, the sensor calculates its combined criteria metric according to connectivity, coverage, mobility and residual energy, after that each sensor node uses its history combined criteria information to predict the current combined criteria based op·heuristic predictors. Our proposed algorithm uses adequate criterion for cluster-head election in conjunction with heuristic predictors to generate steady and balanced clusters. The simulation experiments show that comparing to existed algorithm, the network measurement coverage is getting higher and the communicate energy consumption is getting lower.

关键词： Index Terms—Wireless Sensor Networks Prediction Algorithm Clustering

作者: Gao Guohong Miao Guoyi Wang Quanrui Wang Xing

作者单位: School of Information Engineer Henan Institute of Science and Technology Henan Xinxiang, China,45300 Software College Nanyang Normal University Henan Nanyang, China,473003

会议类型: 国际会议

会议名称: 2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 522-526

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）