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基于蚁群算法的非结构化P2P网络资源搜索策略

李春秀 刘方爱

计算机工程与应用2012,Vol.48Issue(4):97-99,210,4.
计算机工程与应用2012,Vol.48Issue(4):97-99,210,4.DOI:10.3778/j.issn.1002-8331.2012.04.029

基于蚁群算法的非结构化P2P网络资源搜索策略

Resources search strategy based on ant colony algorithm in unstructured P2P networks

李春秀 1刘方爱2

作者信息

  • 1. 山东师范大学信息科学与工程学院,济南250014
  • 2. 山东省分布式计算机软件新技术重点实验室,济南250014
  • 折叠

摘要

Abstract

For the resources search algorithm's too many redundant messages and low efficiency issues in unstructured P2P networks, it proposes a resources search strategy based on ant colony algorithm. The strategy uses ant pheromone' s positive feedback principle, meanwhile considers comprehensively of neighbor nodes'degrees and neighbor-neighbor node's informations to choose the next neighbor nodes. Experimental results show that this algorithm can reduce the number of redundant query messages and improve resource search success rate, it is an effective search strategy in unstructured P2P networks.

关键词

非结构化P2P网络/蚁群算法/节点度/信息素

Key words

unstructured P2P networks/ ant colony algorithm/ node degree/ pheromone

分类

信息技术与安全科学

引用本文复制引用

李春秀,刘方爱..基于蚁群算法的非结构化P2P网络资源搜索策略[J].计算机工程与应用,2012,48(4):97-99,210,4.

基金项目

国家自然科学基金(No.90612003):山东自然科学基金(No.Y2007G11). (No.90612003)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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