摘要
建立了无线传感器网络节点覆盖优化数学模型,设计了一种基于二进制随机多目标微粒群优化(SMOPSO)算法。根据最大化覆盖网络目标函数和最小化传感器节点的利用率目标函数进行优化算法操作,以达到降低网络冗余,延长网络生存时间的效果。仿真实验结果表明,本文提出的无线传感器网络优化覆盖方法能够满足节点利用率低、覆盖率高的要求。
An optimal model for coverage in wireless sensor network is established. Then a Stochastic Multi-objective PSO （SMOPSO） based on binary coding is proposed, to compute the max-coverage area of working sensors and the min-number of working sensors. And the network redundancy are reduced to extend network lifetime. The simulated results show that the optimal coverage scheme proposed in this paper can satisfy the requirement of low nodes utilization rate and high coverage rate.
出处
《计算机与现代化》
2009年第6期1-4,共4页
Computer and Modernization
基金
湖南省自然科学基金资助项目(08JJ3127)
湖南省教育厅优秀青年科研基金资助项目(07B019)
关键词
无线传感器网络
优化覆盖
节点利用率
随机多目标PSO
wireless sensor networks
optimal coverage
nodes utilization rate
stochastic multi-objective PSO
