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基于动态人工鱼群优化的WSN分簇算法
引用本文:刘向东,宋欣,王翠荣. 基于动态人工鱼群优化的WSN分簇算法[J]. 微电子学与计算机, 2011, 28(8): 43-46
作者姓名:刘向东  宋欣  王翠荣
作者单位:东北大学秦皇岛分校,河北秦皇岛,066004
基金项目:东北大学“九八五”工程信息化基础结构关键技术科技创新平台项目
摘    要:将群智能优化算法引入无线传感器网络分簇路由协议的设计能有效地节约节点能量和提高分簇效率.针对基本人工鱼群算法在运算速度方面的不足,提出了一种基于动态人工鱼群优化的无线传感器网络分簇算法,算法为了同时具有较好的全局搜索和局部寻优能力,更快地得到最优分簇结果,在一次迭代进化中除了考虑人工鱼的觅食行为、聚群行为和追尾行为的寻...

关 键 词:无线传感器网络  分簇算法  动态人工鱼群优化

A Dynamic Artificial Fish Swarm Optimization Based Cluster Algorithm for Wireless Sensor Networks
LIU Xiang-dong,SONG Xin,WANG Cui-rong. A Dynamic Artificial Fish Swarm Optimization Based Cluster Algorithm for Wireless Sensor Networks[J]. Microelectronics & Computer, 2011, 28(8): 43-46
Authors:LIU Xiang-dong  SONG Xin  WANG Cui-rong
Affiliation:LIU Xiang-dong,SONG Xin,WANG Cui-rong (Northeastern University at Qinhuangdao,Qinhuangdao 066004,China)
Abstract:The swarm intelligence optimization algorithms are effective measures on saving node energy and improving cluster configuration for WSN routing protocol research.In order to decrease runtime of basic artificial fish swarm optimization,in this paper,a dynamic artificial fish swarm optimization based cluster algorithm for WSN was proposed.The algorithm achieve more appropriate cluster and better global/local optimization through dynamic adjusting visual and step parameters of artificial fish.The simulation re...
Keywords:Wireless sensor networks  cluster algorithm  dynamic artificial fish wwarm optimization  
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