摘要
提出了基于改进蚁群算法的无线传感器网络移动代理路由算法,在改进算法中引入了传感节点的剩余能量值、数据处理能力等新的启发因素,从而均衡了网络负载,降低了网络能耗和延时;状态转换规则的改进和自适应全局信息素更新策略的采用克服了基本蚁群算法的不足。仿真实验表明,提出的算法在全局性和收敛速度上均优于其他传统算法。
This paper proposes a mobile agent route algorithm based on improving on the ant colony algorithm which importing some new illuminable factors,such as the surplus energy value of sensor node and the ability of data processing,consequently the algorithm can proportion the network load and provide less network energy consumption and delay;Improving the strategy of state transformation and importing the self-adaptive global pheromone updating strategy overcome the shortages of the basic ant colony algorithms.The results of contrastive experiment show that the proposed algorithm is superior to the traditional ones both on the globalization and on the convergence rate.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第4期126-129,共4页
Computer Engineering and Applications
基金
湖南省自然科学基金No.06JJ5116
湖南省教育厅自然科学基金No.05C408~~
关键词
无线传感器网络
移动代理
蚁群算法
迁移路径
Wireless Sensor Network（WSN）
mobile agent
ant colony algorithm
migration path
