基于鱼群算法的无线传感网络覆盖优化策略  

Optimal coverage configuration based on artificial fish swarm algorithm in WSNs

作　　者：周利民[1] 杨科华[1] 周攀[1] 

机构地区：[1]湖南大学计算机与通信学院,长沙410082

出　　处：《计算机应用研究》2010年第6期2276-2279,共4页Application Research of Computers

基　　金：湖南省科技计划重点资助项目(2007GK2015)

摘　　要：无线传感网络是能量受限的网络,有效覆盖和能耗是衡量其性能的两个重要指标。将最大化网络覆盖率和最小化工作节点数作为网络优化目标,建立了网络覆盖优化的数学模型,并利用鱼群算法并行寻优、收敛快速的特性,提出了一种基于鱼群算法的覆盖优化策略。仿真实验表明,该算法能求解最优覆盖工作节点,并可以改进网络节点调度的实时性。Wireless sensor networks is energy-constrained networks,coverage rates and energy consumption are two important performace indicators.Maximize the network coverage and minimize the number of working nodes as a network optimization goal, established an optimal model for coverage in wireless sensor network. To utilize the characteristics of parallel and fast convergence,proposed a coverage optimization strategy based on fish swarm algorithm. Simulation results show that the algorithm can get an optimal selection of the set of nodes and improve the real-time capability of nodes scheduling.

关 键 词：无线传感网络 鱼群算法 覆盖优化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]