基于鱼群算法的无线传感网络覆盖优化策略*

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。

Optimal coverage configuration based on artificial fish swarm algorithm in WSNs

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.