首页 | 本学科首页   官方微博 | 高级检索  
     检索      

无线传感器网络功率优化算法
引用本文:王晖,张佩军,张华煜.无线传感器网络功率优化算法[J].郑州大学学报(理学版),2006,38(4):28-32.
作者姓名:王晖  张佩军  张华煜
作者单位:深圳大学信息工程学院,深圳,518060
基金项目:深圳市科技计划资助项目,编号200334
摘    要:无线传感器网络由许多电池能量有限的节点组成,该网络主要收集感知区域的信息.节点能量管理的优化对于延长网络寿命具有重要影响,如果每个节点直接向sink节点或基站发送信息,节点电池很快耗尽,网络也会失去作用.提出了动态路由的新方法以平衡节点能量开销,在Dijkstra最短路径算法和改进遗传算法的基础上,以功率有效性为首要原则,建立了网络拓扑.仿真结果接近最优解,达到节省能量的要求.

关 键 词:无线传感器网络  遗传算法  能量管理  路由
文章编号:1671-6841(2006)04-0028-05
收稿时间:05 1 2006 12:00AM
修稿时间:2006年5月1日

An Evolutionary Approach to Energy Management in Wireless Sensor Network
WANG Hui,ZHANG Pei-jun,ZHANG Hua-yu.An Evolutionary Approach to Energy Management in Wireless Sensor Network[J].Journal of Zhengzhou University:Natural Science Edition,2006,38(4):28-32.
Authors:WANG Hui  ZHANG Pei-jun  ZHANG Hua-yu
Institution:Faculty of Information Engineering, Shenzhen University, Shenzhen 518060,China
Abstract:Wireless sensor network(WSN) consists of nodes which are constrained by battery power and wireless link between nodes. WSN is capable of collecting data from sensing field. Energy is the most critical resource in the life of a sensor node,therefore, its usage must be optimized to maximize the network life. If each node transmits data to sink or base station directly, then it will deplete its power quickly. This is one of the limitations of WSN. A new method of dynamic route to balance the power cost of the nodes is proposed. Based on the shortest path algorithm-Dijkstra and improved genetic algorithm, a network topology is set up. Experiments show that this method is rational and efficient for energy optimization management.
Keywords:wireless sensor network  genetic algorithm  energy management  route
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号