• DocumentCode
    3073070
  • Title

    TCP Congestion Control Using Fuzzy Regulation Approach

  • Author

    Lian, Kuang-Yow ; Ouyang, Ya-Lun ; Liu, Yi-Hsiung

  • Author_Institution
    Chung-Yuan Christian Univ., Chung-Li
  • Volume
    3
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    2092
  • Lastpage
    2097
  • Abstract
    In this paper, we propose a Takagi-Sugeno (T-S) fuzzy controller for active queue management (AQM) with explicit congestion notification (ECN) to improve the performance of Internet communications. We use the queue length and incoming flow rate to measure the degree of congestion effect on Internet to regulate the queue length at a specified level. Linear matrix inequality (LMI) techniques are employed to obtain the feedback gains. To proceed farther into the verification of proposed scheme, we make use of the network simulation (NS-2) in our experiment. Comparing with other AQM schemes, the experiment results show that the proposed AQM has better performance in terms of packet loss, throughput and the fluctuation of queue length.
  • Keywords
    Internet; fuzzy control; linear matrix inequalities; queueing theory; telecommunication congestion control; telecommunication network management; transport protocols; Internet communication; TCP congestion control; Takagi-Sugeno fuzzy controller; active queue management; fuzzy regulation approach; linear matrix inequality technique; Communication system control; Feedback; Fluid flow measurement; Fuzzy control; Internet; Length measurement; Linear matrix inequalities; Performance loss; Takagi-Sugeno model; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.385169
  • Filename
    4274175