• DocumentCode
    460626
  • Title

    Internet Time-delay Prediction Based on Autoregressive and Neural Network Model

  • Author

    Hongyan, Li ; Hong, Wang ; Chao, Gui

  • Author_Institution
    Dept. of Comput. & Electron. Sci., Hubei Univ. of Econ., Wuhan
  • Volume
    3
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    1758
  • Lastpage
    1761
  • Abstract
    Internet time-delay prediction plays a key role in improving dynamic performances for many real-time applications, especially for Internet-based control systems. Therefore, ideal prediction approach for Internet time-delay must be investigated emphatically. In this paper, after analyzing Internet communication features, the autoregressive model and adaptive linear neural network model are adopted to predict the uncertain Internet time-delay. The simulation results for time-delay prediction illustrate that the autoregressive model and the adaptive linear neural network provide two kind of promising ways to predict the Internet time-delay. The resulting statistics of simulation experiments also illustrates that the adaptive linear neural network has a better prediction performance than autoregressive model
  • Keywords
    Internet; adaptive control; autoregressive processes; data communication; delay estimation; neural nets; predictive control; telecommunication control; Internet communication; Internet time-delay prediction; Internet-based control system; adaptive linear neural network model; autoregressive model; Adaptive systems; Bandwidth; Communication system control; Control systems; Delay; IP networks; Internet; Neural networks; Predictive models; Random processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems Proceedings, 2006 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7803-9584-0
  • Electronic_ISBN
    0-7803-9585-9
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2006.285014
  • Filename
    4064240