Realization of Fuzzy Congestion Control on Linux Platform

被引：0
|
作者：
Lian, Kuang-Yow [1 ]
Yang, Shu-Wei [1 ]
Huang, Yi-Chin [1 ]
机构：
[1] Chung Yuan Christian Univ, Dept Elect Engn, Chungli 32023, Taiwan
来源：
2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7 | 2008年
关键词：
fuzzy control; T-S fuzzy model; linear matrix inequality; congestion control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To make the living space more convenient for humans, how to facilitate network technology to achieve remote control becomes an important issue. In this work, the congestion control for networks has been investigated on Linux platform. We suggest new methods for TCP congestion control based on T-S fuzzy model and typical fuzzy logic system. We realize the resulting congestion control system on Linux platform. The experiment results carried out in the practical network environment show that the proposed fuzzy approaches can work very well. Software Iproute2 used in Linux is adopted here to implement the congestion controller. The software Iperf is utilized to measure network performance.
引用
收藏
页码：1387 / 1392
页数：6
相关论文
共 50 条
  • [21] TCP congestion control using fuzzy regulation approach
    Kuang-Yow Lian
    Ya-Lun Ouyang
    Yi-Hsiung Liu
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS, 2006, : 2092 - +
  • [22] A Neuro-Fuzzy Control for TCP Network Congestion
    Hosseini, S. Hadi
    Shabanian, Mahdieh
    Araabi, Babak N.
    [J]. APPLICATIONS OF SOFT COMPUTING: FROM THEORY TO PRAXIS, 2009, 58 : 93 - +
  • [23] Fuzzy enabled congestion control for Differentiated Services Networks
    Revathi, T.
    Muneeswaran, K.
    Ramar, K.
    [J]. APPLIED SOFT COMPUTING, 2011, 11 (08) : 5457 - 5462
  • [24] Fuzzy TCP congestion control algorithm using delay
    Yi F.-S.
    Zhao J.-D.
    [J]. Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2010, 39 (02): : 260 - 265
  • [25] ATM congestion control using a fuzzy neural network
    Kwok, A
    McLeod, R
    [J]. 1996 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING - CONFERENCE PROCEEDINGS, VOLS I AND II: THEME - GLIMPSE INTO THE 21ST CENTURY, 1996, : 814 - 817
  • [26] Fuzzy AQM for congestion avoidance and control in sensor networks
    [J]. Luo, C. (luocheng1@email.szu.edu.cn), 1600, Chinese Institute of Electronics (42):
  • [27] Bandwidth Management with Congestion Control Approach and Fuzzy Logic
    Azami, G.
    Narm, H. Gholizade
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING, 2021, 34 (04): : 891 - 900
  • [28] Fuzzy logic congestion control for broadband wireless IPTV
    Jammeh, E. A.
    Fleury, M.
    Ghanbari, M.
    [J]. ELECTRONICS LETTERS, 2008, 44 (23) : 1365 - U44
  • [29] Fuzzy Congestion Control and Avoidance for CoAP in IoT Networks
    Thieu Nga Pham
    Dang Hai Hoang
    Thi Thuy Duong Le
    [J]. IEEE ACCESS, 2022, 10 : 105589 - 105611
  • [30] Congestion control using fuzzy logic in QoS networks
    Zhang, Runtong
    Zhu, Xiaomin
    [J]. 2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS, 2006, : 105 - 108
12345