• DocumentCode
    3024443
  • Title

    TCP Vegas-like Expert-Controlled Multicast Congestion Control Algorithm for Wireless Networks

  • Author

    Kang Qiaoyan ; Wang Jianfeng ; Meng Xiangru

  • Author_Institution
    Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´an, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    50
  • Lastpage
    54
  • Abstract
    In order to improve the performance of existing multicast congestion control algorithm applied to wireless networks, in this paper, a TCP Vegas-like expert-controlled multicast congestion control mechanism (VEMCC) is proposed, which uses a recently proposed TCP Vegas throughput model. In VEMCC, the network congestion state is detected according to network relative queuing delay and packet loss; the packet loss reason is distinguished between wireless link errors and network congestion; and the current state of the network is judged accurately; then different multicast source control strategies are taken to adjust the sending rate. The simulation results show that, VEMCC algorithm enhances the capability to distinguish between network congestion and random errors, and improves the network throughput. VEMCC can be applied to wireless networks well, and achieve some extent on TCP-friendliness over low packet error rate wireless link.
  • Keywords
    radio links; radio networks; telecommunication congestion control; TCP Vegas-like expert-controlled multicast congestion control algorithm; network congestion; network relative queuing delay; packet loss; wireless link errors; wireless networks; Control systems; Error correction; Force control; Multicast algorithms; Out of order; Telecommunication congestion control; Telecommunication control; Throughput; Unicast; Wireless networks; TCP Vegas throughput model; expert control; multicast congestion control; wireless network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.182
  • Filename
    5376437