电信科学

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基于3G网络的P2P系统中基于模糊认知图的小区优先节点选择算法

张棪,周旭,刘书浩,唐晖   

  1. 中国科学院声学研究所高性能网络实验室;中国科学院声学研究所高性能网络实验室;中国科学院声学研究所高性能网络实验室；电子科技大学宽带光纤传输与通信网技术教育部重点实验室;中国科学院声学研究所高性能网络实验室
  • 出版日期:2012-01-15 发布日期:2012-01-15
  • 基金资助:
    国家科技重大专项课题基金资助项目(No.2010ZX03004-001,No.2011ZX03005-004-01)

FCM-Based Cell First Peer Selection Algorithm for P2P Systems over 3G Network

Zhang Yan,Zhou Xu,Liu Shuhao and Tang Hui   

  1. Institute of Acoustics, Chinese Academy of Science;Institute of Acoustics, Chinese Academy of Science;Institute of Acoustics, Chinese Academy of Science； Key Laboratory of Broadband Optical Fiber Transmission and Communication Network UEST of China，Ministry of Education;Institute of Acoustics, Chinese Academy of Science
  • Online:2012-01-15 Published:2012-01-15

被引次数

5

摘要： 移动通信环境的复杂性和3G蜂窝网络的结构特性为基于3G网络的P2P系统中的节点选择带来了挑战。针对基于3G网络的P2P系统中的节点选择算法进行了研究,提出了一种基于模糊认知图(fuzzy cognitive map,FCM)的小区优先节点选择算法,简称CF-FCM(cell first,FCM based)算法。仿真结果显示,CF-CFM算法能在取得优异的3G网络小区间负载均衡性的同时,保证良好的节点服务性能。

Abstract: The characteristics of mobile environments and the architecture of 3G cellular network have brought challenges for peer selection in P2P systems over 3G cellular network.This paper studies the problem of peer selection in P2P systems over 3G cellular network,and proposes a novel peer selection algorithm named CF-FCM(cell first,FCM based).Simulation results indicate that the CF-FCM algorithm can achieve excellent load balance on the cells in 3G cellular network while assuring good peer performance.

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