电信科学 ›› 2016, Vol. 32 ›› Issue (7): 121-125.doi: 10.11959/j.issn.1000-0801.2016207

• 研究与开发 • 上一篇    下一篇

基于蚁群优化的移动P2P网络路由选择算法

马丽芳1,陈伟峰2,兰世战2,陆松2,张玉兰2,莫晓斌2,何昌智3   

  1. 1 广西建设职业技术学院,广西 南宁530003
    2 中国移动通信集团广西有限公司,广西 南宁530022
    3 亿阳信通股份有限公司,北京100093
  • 出版日期:2016-07-20 发布日期:2017-04-26

Routing selection algorithm based on ant colony optimization in mobile P2P network

Lifang MA1,Weifeng CHEN2,Shizhan LAN2,Song LU2,Yulan ZHANG2,Xiaobin MO2,Changzhi HE3   

  1. 1 Guangxi Polytechnic of Construction,Nanning 530003,China
    2 China Mobile Group Guangxi Co.,Ltd.,Nanning 530022,China
    3 BOCO Inter-Telecom Corporation,Beijing 100093,China
  • Online:2016-07-20 Published:2017-04-26

摘要:

因为移动P2P网络具有动态性而且移动节点能量受限,提升移动P2P数据传输效率至关重要。利用蚁群优化算法,将蚂蚁的信息素与节点的能量和通信带宽结合起来,在蚁群选择路径时,减少其寻优路径上的信息素浓度,根据概率路由表中信息素的浓度对路由选择策略进行调整,避免网络拥塞和个别节点能量消耗过快,提出了一种移动P2P网络的多路径路由选择算法。实验结果表明,与EDSR路由协议相比,提出的算法能够降低节点的分组丢失率和端到端的平均时延,提高了网络的生存周期。

关键词: 移动P2P网络, 路由选择, 蚁群算法

Abstract:

For the dynamic of P2P network and the limited energy of the mobile node,enhancing the mobile P2P data transmission efficiency is essential.By using ant colony optimization algorithm the ant pheromones were combined with the node energy and communication bandwidth.When ACO selected the path,the concentration of the pheromone on its optimization path was reduced.The routing selection strategy was adaptively adjusted by the pheromone density of routing probability table in order to avoid network congestion and excessive energy consumption of individual nodes.A multipath routing selection algorithm in mobile P2P network was proposed.Experiment results show that the proposed algorithm can reduce packet loss rate and the average delay compared with EDSR routing protocol,prolonging the lifecycle of the whole network.

Key words: mobile P2P network, routing selection, ant colony algorithm

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