• DocumentCode
    2096435
  • Title

    An Adaptive Queue Management Mechanism for Video Streaming over Mobile Ad Hoc Networks

  • Author

    Wei, Shujie ; Bai, Guangwei ; Shen, Hang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Nanjing Univ. of Technol., Nanjing, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes an adaptive queue management mechanism (AQM) based on bandwidth estimation for real-time multimedia streaming over mobile ad hoc networks. The purpose is to provide the soft QoS guarantee. At first, we use GM (1, 1) model to predict network bandwidth. On this basis, a mathematical model is proposed to determine a reasonable queue length, thus adjusting the queue length dynamically. To evaluate the AQM performance, we generate a set of video streams using NS2 simulation for typical network scenarios. Our statistical and mathematical analyses demonstrate that the AQM improves the performance of multimedia streaming significantly, in terms of packet loss rate and mean end-to-end delay.
  • Keywords
    ad hoc networks; bandwidth allocation; grey systems; mobile radio; quality of service; queueing theory; telecommunication network management; video streaming; AQM; GM model; NS2 simulation; adaptive queue management mechanism; bandwidth estimation; dynamic queue length adjustment; mathematical analysis; mathematical model; mean end-to-end delay; mobile ad hoc network; network bandwidth prediction; packet loss rate; real-time multimedia streaming; soft QoS guarantee; statistical analysis; video streaming; Bandwidth; Computer network management; Data communication; Delay; Mathematical model; Mobile ad hoc networks; Paper technology; Predictive models; Streaming media; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5301909
  • Filename
    5301909