基于粒子群算法和人工鱼群算法在无线传感网络覆盖策略的研究  

Research of Wireless Sensor Network Coverage Strategy Based on Particle Swarm Algorithm and Artificial Fish Swarm Algorithm

作　　者：许秀兰[1] 黄瑜岳[1] 李克清[1] 

机构地区：[1]常熟理工学院,常熟215500

出　　处：《科学技术与工程》2013年第7期1800-1804,共5页Science Technology and Engineering

基　　金：江苏省科技计划项目(BE2011376);常熟市工业攻关重点项目(CG201003)资助

摘　　要：在无线传感网络中,覆盖和能耗是判断性能的两个重要标准,本文将粒子群算法与人工鱼群算法进行结合,提出了一种两种算法的覆盖优化策略,利用粒子群算法中的权重因子在人工鱼群算法中的应用,有效的避免了算法过早的陷入早熟,加速了算法的收敛。仿真实验表明,该算法有效提高网络覆盖性能,并与其他算法进行了比较。In the wireless sensor network, coverage and energy consumption are the two important standard for performance determination, this paper combines the Particle swarm algorithm and artificial fish swarm algorithm, proposes coverage optimization strategy, with the application of the weight factors in the Particle swarm algorithm, effectively avoids the algorithm＇ s local optimum, speeds up the algorithm＇ s convergence, simulation experience proves that the algorithm effectively improves the network coverage performance, and compares it with other algo- rithms.

关 键 词：无线传感网络 人工鱼群算法 粒子群算法 覆盖优化 

分 类 号：TN915.03[电子电信—通信与信息系统]