IDEAS home Printed from https://ideas.repec.org/a/igg/jdst00/v9y2018i1p55-76.html
   My bibliography  Save this article

A Cross-Layer Fault Tolerant Protocol with Recovery Mechanism for Clustered Sensor Networks

Author

Listed:
  • Yasmine Djebaili

    (Department of Computer Science, LaSTIC Laboratory, University of Batna 2, Batna, Algeria)

  • Azeddine Bilami

    (Department of Computer Science, LaSTIC Laboratory-University of Batna 2, Batna, Algeria)

Abstract

This article describes how fault tolerance is an essential issue for many WSN (Wireless Sensor Network) applications such as wildlife monitoring, battlefield surveillance and health monitoring. It represents a great challenge for researchers regarding to the characteristics of sensor nodes which are prone to failures due essentially to their limited resources. Faults may occur, not only when sensor nodes exhaust their energy, but also when the congestion phenomenon emerges, because of a high traffic in the network and limited storage capacity of the sensor nodes. In order to support fault tolerance in WSNs, the authors propose a new scheme which incorporates a link quality estimation algorithm and a congestion detection mechanism to enable nodes that present high quality links to be chosen for routing in a non-congested area in case of faults. Evaluations through simulations under NS2 show that our proposed protocol tolerates faults with a minimum cost relatively to HEEP protocol and improves network's performances comparatively to other fault tolerant protocols such as EF-LEACH.

Suggested Citation

  • Yasmine Djebaili & Azeddine Bilami, 2018. "A Cross-Layer Fault Tolerant Protocol with Recovery Mechanism for Clustered Sensor Networks," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 9(1), pages 55-76, January.
  • Handle: RePEc:igg:jdst00:v:9:y:2018:i:1:p:55-76
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDST.2018010104
    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:jdst00:v:9:y:2018:i:1:p:55-76. 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.