基于蚁群优化的无线传感器网络路由算法作者:邬欢欢 张任来源:《智能计算机与应用》2014年第03期
收稿日期:2014-05-13
基金项目:塔里木大学校长基金(TDZKSS201319)。
作者简介:邬欢欢(1982-),男,新疆阿拉尔人,硕士,讲师,主要研究方向: 无线传感器网络、分布式信息处理。
摘要:路由技术是无线传感器网络(WSNs)的关键技术。基于蚁群优化的无线传感器网络路由算法具有蚁群算法的自组织、正反馈和并行性的特点,在构造WSNs的最优路由时有很好的性能。介绍了蚁群算法的数学模型,着重从启发因子的构建方式上描述了当前典型的基于蚁群的路由算法,并比较分析了这些算法的特点及存在问题,在此基础上给出了设计启发因子的方法,为进一步研究提供了一些解决思路。
关键词:无线传感器网络; 路由算法; 蚁群优化
中图分类号:TP393文献标识码:A文章编号:2095-2163(2014)03-0067-03
Ant Colony Optimization-based Routing Algorithm in Wireless Sensor Networks
WU Huanhuan, ZHANG Ren
(College of Information Engineering, Tarim University, Alar Xinjiang 843300, China)
Abstract:Routing technology is pivotal in the architecture of wireless sensor networks(WSNs). The routing algorithm based ACO(Ant Colony Optimization) has good performance in WSNs,for its server advantages,such as robustness,positive feedback,distributed computing and parallelism. The paper presents analysis of the mathematical model of ant colony algorithm, mainly from the construction method of heuristic factor describes the current typical routing algorithm based on ant colony algorithm.After doing research on typical algorithms,the paper compares their performance,presents a method of designing inspiration factor,and points out some research issues.
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