计算机应用 ›› 2013, Vol. 33 ›› Issue (07): 1809-1812.DOI: 10.11772/j.issn.1001-9081.2013.07.1809

• 网络与通信 • 上一篇    下一篇

基于Fuzzy丢包区分的TCP自适应拥塞控制算法

吴小川1,张治学2   

  1. 1. 河南科技大学 电子信息工程学院,河南 洛阳 471023
    2. 河南科技大学 现代教育技术与信息中心,河南 洛阳 471023
  • 收稿日期:2013-01-10 修回日期:2013-02-28 出版日期:2013-07-01 发布日期:2013-07-06
  • 通讯作者: 吴小川
  • 作者简介:吴小川(1988-),男,河南开封人,硕士研究生,主要研究方向:异构网络传输;张治学(1963-),男,四川达州人,实验师,主要研究方向:网络通信、嵌入式系统。
  • 基金资助:

    国家自然科学基金资助项目(61070247)

Adaptive TCP congestion algorithm based on fuzzy loss discrimination in heterogeneous networks

WU Xiaochuan1,ZHANG Zhixue2   

  1. 1. Electronic and Information Engineering School, Henan University of Science and Technology, Luoyang Henan 471023, China
    2. Modern Education Technology and Information Center, Henan University of Science and Technology, Luoyang Henan 471023, China
  • Received:2013-01-10 Revised:2013-02-28 Online:2013-07-06 Published:2013-07-01
  • Contact: WU Xiaochuan

摘要: 针对在有线/无线的异构网络中,传统有线环境下的传输控制协议(TCP)把所有丢包简单地归因于网络拥塞,严重影响了混合网络环境下的TCP传输性能的问题,提出了一种新的基于模糊理论的自适应控制算法。该算法选取了新的网络参数,运用Fuzzy方法对网络状态进行综合评价,并基于反馈理论的方法建立了新的自适应控制模型,即对评价结果集进行加权求和,得出网络性能指数,将其作为输入因子进入下一次计算过程,并调整各参数权重。仿真表明,该算法能够较好反映混合网络的真实拥塞状况,具有较好的网络适应性,比当前主要TCP算法具有更好的拥塞控制效果。该算法对在多参数,使用模糊方法背景下,混合网络拥塞及其自适应控制研究进行了新的探索。

关键词: 自适应算法, 异构网络, 传输控制协议, 拥塞控制

Abstract: In the hybrid wired/wireless network, the traditional Transmission Control Protocol (TCP) versions in wired network simply ascribe packet loss to congestion, which causes unnecessary performance degradation. To solve this problem, a new adaptive control algorithm based on fuzzy theory was proposed. It selected new network status parameters, and used fuzzy loss differentiating method to make comprehensive evaluation out of network status, and it was based on feedback theory method, finally built an adaptive control model, i.e. getting the evaluation result set, then yielding the Transmission Performance Index (TPI) by summing up the result sets weighting elements, which entered into next evaluation cycle as one of the input factors and also adjusted the factors weights. The simulation results show this algorithm better reflects the real congestion status of hybrid network, has better network adaptability and performs better than current main TCP mechanisms. This algorithm, on the background of multi-parameters and using fuzzy methods, makes new explorations of hybrid network congestion and its adaptive control research.

Key words: adaptive algorithm, heterogeneous network, Transmission Control Protocol (TCP), congestion control

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