计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (4): 126-129.DOI: 10.3778/j.issn.1002-8331.2009.04.035

• 网络、通信、安全 • 上一篇    下一篇

基于改进蚁群算法的WSN移动代理路由算法研究

徐云剑1,2,彭沛夫1,郭艾寅2,3,张桂芳2   

  1. 1.湖南师范大学 物理与信息科学学院,长沙 410081
    2.湖南涉外经济学院,长沙 410205
    3.湖南师范大学 数学与计算机科学学院,长沙 410081
  • 收稿日期:2008-01-10 修回日期:2008-04-01 出版日期:2009-02-01 发布日期:2009-02-01
  • 通讯作者: 徐云剑

Study of mobile agent route algorithm based on improved ant colony algorithm in wireless sensor networks

XU Yun-jian1,2,PENG Pei-fu1,GUO Ai-yin2,3,ZHANG Gui-fang2   

  1. 1.College of Mathematics and Computer Science,Hunan Normal University,Changsha 410081,China
    2.Hunan International Economics University,Changsha 410205,China
    3.College of Physics and Information Science,Hunan Normal University,Changsha 410081,China
  • Received:2008-01-10 Revised:2008-04-01 Online:2009-02-01 Published:2009-02-01
  • Contact: XU Yun-jian

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。

Abstract: 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.