IDEAS home Printed from https://ideas.repec.org/a/igg/jncr00/v9y2020i2p51-60.html
   My bibliography  Save this article

Software-Based Validation of the Differentiation Scheme for Ethernet and Wireless LAN Access Network Types Using an End-to-End Approach

Author

Listed:
  • Pritee Parwekar

    (Dept of CSE, SRM Institute of Science & Technology, SRM University Delhi - NCR Campus, New Delhi, India)

  • Adilya Bakambekova

    (School of Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan)

  • Talgat Bizhigit

    (School of Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan)

  • Yeldar Toleubay

    (School of Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan)

Abstract

Different access network types are characterized by a variety of attributes which include link bandwidths, physical media, capacity, and reliability. Therefore, the question of accurately identifying whether the sender uses a wired ethernet connection or a wireless LAN connection comes into place. This article aims to analyse, simulate, validate, and improve the existing classification scheme which is based on measuring entropy of packet pair inter-arrival times and median. A riverbed modeller (former OPNET) is used for simulating the different scenarios. Small-scale experiment conducted on campus at the Nazarbayev University (NU) validates the insignificance of the packet probe size chosen for the classification.

Suggested Citation

  • Pritee Parwekar & Adilya Bakambekova & Talgat Bizhigit & Yeldar Toleubay, 2020. "Software-Based Validation of the Differentiation Scheme for Ethernet and Wireless LAN Access Network Types Using an End-to-End Approach," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 9(2), pages 51-60, April.
    • Handle: RePEc:igg:jncr00:v:9:y:2020:i:2:p:51-60
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJNCR.2020040104
    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:jncr00:v:9:y:2020:i:2:p:51-60. 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.