摘要
提出了一种基于改进蜂群算法的无线传感器感知节点部署优化方法,以网络覆盖率为目标函数,将传感器感知节点部署问题形式化为组合优化问题,并采用分层机制对基本蜂群算法进行改进。仿真实验结果表明,本方法能够以相对较小的代价完成传感器感知节点部署,并能降低网络能耗,提高网络的整体覆盖率。
This paper presented an algorithm based on improved swarm optimization method to deploy the nodes,network coverage was the objective function,the deployment of sensor nodes would be formalized as a combinatorial optimization problem,and the basic swarm algorithm had been improved.The simulation results show that the this method can be in the target area with a relatively small cost to complete the distribution of sensor network node is optimized to reduce network energy consumption,improve the network's overall coverage.
出处
《计算机应用研究》
CSCD
北大核心
2010年第7期2704-2705,2708,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60703035)
重庆市科委自然科学基金资助项目(CSTC2009BB2288)
关键词
无线传感器网络
蜂群优化算法
节点部署
组合优化
wireless sensor networks(WSN)
swarm optimization algorithm
node deployment
combinatorial optimization