[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/igg/jsita0/v9y2018i4p15-37.html
   My bibliography  Save this article

A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks

Author

Listed:
  • Sangeetha Ganesan

    (CEG, Anna University, Chennai, India)

  • Vijayalakshmi Muthuswamy

    (CEG, Anna University, Chennai, India)

  • Ganapathy Sannasi

    (VIT University, Chennai, India)

  • Kannan Arputharaj

    (VIT University, Vellore, India)

Abstract
Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the performance with better congestion management. The job of choosing a suitable congestion control technique is a challenging task for the network designer. In this article, the authors traverse through the underlying conceptual ideas on congestion control schemes which come under six unique models. This article highlights a survey on the existing works done so far on congestion control domains in sensor networks. A comparative analysis based on Quality of Service parameters has been discussed.

Suggested Citation

  • Sangeetha Ganesan & Vijayalakshmi Muthuswamy & Ganapathy Sannasi & Kannan Arputharaj, 2018. "A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 9(4), pages 15-37, October.
    • Handle: RePEc:igg:jsita0:v:9:y:2018:i:4:p:15-37
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSITA.2018100102
    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:jsita0:v:9:y:2018:i:4:p:15-37. 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.