光通信研究Issue(4)：68-71,4.DOI:10.13756/j.gtxyj.2015.04.022
基于概率模型的无线传感器网络优化覆盖算法
Probability model-based optimization coverage algorithm for wireless sensor networks
摘要
Abstract
In order to better eliminate such phenomena as large amounts of redundant information and imbalanced node energy consumption in the covering process of Wireless Sensor Networks (WSN),this paper proposes an optimal covering algorithm for node energy balance.By using the subordinate relationship between the sensor nodes and destination nodes in the monito-ring area,this algorithm builds a network model and gives such dependence.Then,on the basis of the dependence and the probability theory,it solves the expected value of the sensor nodes in covering the destination nodes and then calculates the least number of sensor nodes required for covering the monitoring area.The experimental results indicate that this algorithm cannot only use the least sensor nodes to effectively cover the monitoring area,but also resist the generation of redundant infor-mation data,thus extending the network lifecycle.关键词
无线传感器网络/概率模型/覆盖率/网络生存周期Key words
WSN/probability model/coverage rate/network lifecycle分类
信息技术与安全科学引用本文复制引用
李孜,高春玲,孙泽宇,邢萧飞..基于概率模型的无线传感器网络优化覆盖算法[J].光通信研究,2015,(4):68-71,4.基金项目
国家自然科学基金资助项目(11205080,U1304603) （11205080,U1304603）
中国博士后科学基金面上项目(2014M562153) （2014M562153）
河南省科技厅科技攻关重点基金项目(142102210471,142102210568,142102210063) （142102210471,142102210568,142102210063）
河南省教育厅自然科学重点基金项目(14B520099,14A510009) （14B520099,14A510009）
洛阳市科技发展重大计划基金项目(1401037A) （1401037A）
广州市教育局科学基金项目(1201430560) （1201430560）
