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基于蚁群算法的非结构化P2P搜索机制的研究
引用本文:苏玉,毛力.基于蚁群算法的非结构化P2P搜索机制的研究[J].计算机工程与设计,2010,31(5).
作者姓名:苏玉  毛力
作者单位:江南大学信息工程学院,江苏,无锡,214122
摘    要:通过对P2P中资源搜索技术的研究,针对非结构化P2P网络中的传统洪泛搜索机制中的路由盲目性和产生过多冗余消息等缺点,提出一种基于蚁群算法的非结构化P2P搜索机制.蚁群算法是一种新型的优化算法,利用蚁群算法信息素的正反馈机制指导查询请求消息的转发,将查询请求消息尽量发往资源可能存在的节点上.实验结果表明,该算法在查询成功率和查询消息的传送次数方面都优于洪泛搜索算法,提高了算法的有效性.

关 键 词:蚁群算法  信息素  向量空间模型  特征相关度

Searching mechanism based on ant algorithm in unstructure P2P system
SU Yu,MAO Li.Searching mechanism based on ant algorithm in unstructure P2P system[J].Computer Engineering and Design,2010,31(5).
Authors:SU Yu  MAO Li
Affiliation:SU Yu,MAO Li (College of Information Technology,Southern Yangtze University,Wuxi 214122,China)
Abstract:By analyzing the search technology in peer-to-peer networks,aimed at the problems of traditional flooding search mechanism,such as routing blindness and much redundant information,a P2P searching mechanism based on ant colony is introduced. Ant colony algorithm is a new heuristic optimization,the algorithm uses ant pheromones positive feedback mechanism,effectively guiding the direction of search,the query message packets could be sent to the target nodes as far as possible,experimental results show that th...
Keywords:P2P  P2P  ant colony  pheromone  VSM  characteristic simularity
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