IDEAS home Printed from https://ideas.repec.org/a/igg/jitn00/v1y2009i4p71-87.html
   My bibliography  Save this article

Modeling and Simulation of Self-Similar Traffic in Wireless IP Networks

Author

Listed:
  • Dimitar Radev

    (CTT - University of Rousse, Bulgaria)

  • Izabella Lokshina

    (MMI - SUNY Oneonta, USA)

  • Svetla Radeva

    (CAE - UACEG, Bulgaria)

Abstract

The article examines self-similar properties of real telecommunications network traffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. Simulation with stochastic and long range dependent traffic source models is performed, and the algorithms for buffer overflow simulation for finite buffer single server model under self-similar traffic load SSM/M/1/B are explained. The algorithms for modeling fixedlength sequence generators that are used to simulate self-similar behavior of wireless IP network traffic are developed and applied. Numerical examples are provided, and simulation results are analyzed.

Suggested Citation

  • Dimitar Radev & Izabella Lokshina & Svetla Radeva, 2009. "Modeling and Simulation of Self-Similar Traffic in Wireless IP Networks," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 1(4), pages 71-87, October.
  • Handle: RePEc:igg:jitn00:v:1:y:2009:i:4:p:71-87
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jitn.2009092805
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jitn00:v:1:y:2009:i:4:p:71-87. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.