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

For the dynamic of P2 P network and the limited energy of the mobile node, enhancing the mobile P2 P 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, th...

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Bibliographic Details
Published inDianxin Kexue Vol. 32; no. 7; pp. 121 - 125
Main Authors Ma, Lifang, Chen, Weifeng, Lan, Shizhan, Lu, Song, Zhang, Yulan, Mo, Xiaobin, He, Changzhi
Format Journal Article
LanguageChinese
Published Beijing Xintong Media Co., Ltd 01.07.2016
Subjects
Algorithms
Ant colony optimization
Computer networks
Data transmission
Delay
Energy management
mobile P2P network;routing selection;ant colony algorithm
Networks
Routing (telecommunications)
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Summary:For the dynamic of P2 P network and the limited energy of the mobile node, enhancing the mobile P2 P 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 P2 P 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.
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ISSN:1000-0801