IDEAS home Printed from https://ideas.repec.org/a/igg/jwnbt0/v5y2016i1p73-102.html
   My bibliography  Save this article

Safety of Mobile Wireless Sensor Networks Based on Clustering Algorithm

Author

Listed:
  • Amine Dahane

    (Intelligent Systems Research Laboratory, University of Sciences and Technology of Oran, Oran, Algeria)

  • Nasr-Eddine Berrached

    (Intelligent Systems Research Laboratory, University of Sciences and Technology of Oran, Oran, Algeria)

  • Abdelhamid Loukil

    (Intelligent Systems Research Laboratory, University of Sciences and Technology of Oran, Oran, Algeria)

Abstract

Clustering approaches for mobile wireless sensor networks (WSNs) tend to extend the battery life of the individual sensors and the network lifetime. Taking into account the mobility of the network, a powerful mechanism to safely elect a cluster head is a challenging task in many research works. As a proposed technique to deal with such problem, the approach based on the computing of the weight of each node in the network is chosen. This paper is intended to propose a new algorithm called “S-WCA” for safety of mobile sensor networks based on clustering algorithm using a combination of five metrics. Among these metrics lies the behavioral level metric which promotes a safe choice of a cluster head in the sense where this last one will never be a malicious node. Moreover, a summary of the highlight of the authors' work is provided in a comprehensive strategy for monitoring the network, so as to detect and remove the malicious nodes. Simulation study is used to demonstrate the performance of the proposed algorithm.

Suggested Citation

  • Amine Dahane & Nasr-Eddine Berrached & Abdelhamid Loukil, 2016. "Safety of Mobile Wireless Sensor Networks Based on Clustering Algorithm," International Journal of Wireless Networks and Broadband Technologies (IJWNBT), IGI Global, vol. 5(1), pages 73-102, January.
  • Handle: RePEc:igg:jwnbt0:v:5:y:2016:i:1:p:73-102
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWNBT.2016010105
    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:jwnbt0:v:5:y:2016:i:1:p:73-102. 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.