通信学报 ›› 2014, Vol. 35 ›› Issue (1): 148-155.doi: 10.3969/j.issn.1000-436x.2014.01.017

• 学术通信 • 上一篇    下一篇

基于局域信息少数者博弈的拥塞控制算法

王祖喜,邓昭彰,李力   

  1. 华中科技大学 自动化学院 多谱信息处理技术国家重点实验室,湖北 武汉 430074
  • 出版日期:2014-01-25 发布日期:2017-06-17
  • 基金资助:
    国家自然科学基金资助项目;湖北省自然科学基金资助项目;湖北省自然科学基金资助项目

Fair and efficient network congestion control algorithm based on minority game with local information

Zu-xi WANG,Zhao-zhang DENG,Li LI   

  1. National Key Laboratory of Science and Technology on Multispectral Information Processing,School of Automation,Huazhong University of Science & Technology ,Wuhan 430074,China
  • Online:2014-01-25 Published:2017-06-17
  • Supported by:
    The National Natural Science Foundation of China

摘要:

针对目前已有的拥塞控制算法普遍存在资源利用率低下、RTT不公平和多瓶颈链路不公平等问题,分析了网络拥塞控制中的博弈现象,考虑网络局域信息在拥塞控制过程中的影响,建立了一种基于局域信息少数者博弈的拥塞控制模型,提出并实现了一种基于局域信息少数者博弈的拥塞控制算法。仿真实验表明,该算法在保证瓶颈链路资源利用率的同时,有效地解决了异构RTT流的不公平性问题,实现了多瓶颈链路下的最大最小公平性。

关键词: 拥塞控制, 局域信息, 少数者博弈

Abstract:

Low link utility,RTT unfairness and unfairness of Multi-Bottleneck network are the existing problems in the present network congestion control algorithms at large.Considering the local information of network,a congestion control model based on minority game (MG) with local information was proposed to solve these problems.Based on the model,a congestion control algorithm was designed.The result of simulation indicates that the proposed algorithm has good performance on link utilization and fairness of RTT flow in multi-bottleneck network.

Key words: congestion control, local information, minority game

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