• DocumentCode
    3389600
  • Title

    Fractal characteristics analysis of wireless network traffic based on Hurst parameter

  • Author

    Wang, Taijun ; Yu, Qin ; Mao, Yuming

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
  • fYear
    2009
  • fDate
    23-25 July 2009
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    This paper uses three statistical analyses methods, R/S statistic, variance-time plots and periodogram-based analysis, to estimate the Hurst parameter of the wireless network traffic. The fractal statistical characteristics of wireless network traffic are studied based on the Hurst parameter. Simulation results compare the parameter estimation values of fractal wireless network traffic by utilizing above three statistical approaches. The simulation results demonstrate that wireless network traffic exhibits fractal characteristics. These results can be very useful for the performance improvement and the system design optimization of wireless network.
  • Keywords
    radio networks; statistical analysis; telecommunication traffic; Hurst parameter estimation; fractal characteristics analysis; periodogram-based analysis; statistical analysis method; system design optimization; variance-time plot; wireless network traffic; Analysis of variance; Communication system traffic control; Computer networks; Fractals; Parameter estimation; Statistical analysis; Telecommunication traffic; Traffic control; Wireless LAN; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
  • Conference_Location
    Milpitas, CA
  • Print_ISBN
    978-1-4244-4886-9
  • Electronic_ISBN
    978-1-4244-4888-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2009.5250546
  • Filename
    5250546