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

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 conc...

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Main Authors: Lifang MA, Weifeng CHEN, Shizhan LAN, Song LU, Yulan ZHANG, Xiaobin MO, Changzhi HE
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-07-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016207/
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author Lifang MA
Weifeng CHEN
Shizhan LAN
Song LU
Yulan ZHANG
Xiaobin MO
Changzhi HE
author_facet Lifang MA
Weifeng CHEN
Shizhan LAN
Song LU
Yulan ZHANG
Xiaobin MO
Changzhi HE
author_sort Lifang MA
collection DOAJ
description 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.
format Article
id doaj-art-72c1260ed9cc490b86555f86e364493b
institution Kabale University
issn 1000-0801
language zho
publishDate 2016-07-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-72c1260ed9cc490b86555f86e364493b2025-01-15T03:25:11ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-07-013212112559801135Routing selection algorithm based on ant colony optimization in mobile P2P networkLifang MAWeifeng CHENShizhan LANSong LUYulan ZHANGXiaobin MOChangzhi HEFor 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016207/mobile P2P networkrouting selectionant colony algorithm
spellingShingle Lifang MA
Weifeng CHEN
Shizhan LAN
Song LU
Yulan ZHANG
Xiaobin MO
Changzhi HE
Routing selection algorithm based on ant colony optimization in mobile P2P network
Dianxin kexue
mobile P2P network
routing selection
ant colony algorithm
title Routing selection algorithm based on ant colony optimization in mobile P2P network
title_full Routing selection algorithm based on ant colony optimization in mobile P2P network
title_fullStr Routing selection algorithm based on ant colony optimization in mobile P2P network
title_full_unstemmed Routing selection algorithm based on ant colony optimization in mobile P2P network
title_short Routing selection algorithm based on ant colony optimization in mobile P2P network
title_sort routing selection algorithm based on ant colony optimization in mobile p2p network
topic mobile P2P network
routing selection
ant colony algorithm
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016207/
work_keys_str_mv AT lifangma routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork
AT weifengchen routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork
AT shizhanlan routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork
AT songlu routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork
AT yulanzhang routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork
AT xiaobinmo routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork
AT changzhihe routingselectionalgorithmbasedonantcolonyoptimizationinmobilep2pnetwork