摘要
为提高随机部署的传感网络覆盖性能,提出基于动态克隆粒子群的移动节点部署控制算法,用每个粒子表示所有移动节点的一种部署方案,在经典粒子群算法基础上,每次迭代结束后,粒子依据自身的覆盖性以及与群体中粒子的相似性决定其克隆数量和变异幅度,有效避免陷入早熟陷阱.通过与其他算法的对比仿真实验,表明该优化算法能更有效地提高网络覆盖性能.
To optimizing the coverage performance,this paper proposed a strategy which is based on particle swarm optimization（PSO） with dynamic clone.The algorithm control clone numbers and variation range of particle,which represents the positions of all mobile sensor nodes,by coverage rate and similarity among the swarm,so can avoid being trapped in local optima.The results of simulation show that the algorithm is able to more improve the coverage of the networks than the compared algorithm.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第8期105-107,111,共4页
Microelectronics & Computer
基金
科技部创新基金项目(10C26215115008)
重庆市教委科学技术项目(KJ111304)
关键词
粒子群算法
克隆
无线传感网络
覆盖
particle swarm optimization
clone
wireless sensor networks
coverage
