IDEAS home Printed from https://ideas.repec.org/a/igg/jswis0/v13y2017i3p68-88.html
   My bibliography  Save this article

Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks

Author

Listed:
  • Badia Bouhdid

    (National School of Computer Sciences (ENSI), Univesity of Manouba, Manouba, Tunisia)

  • Wafa Akkari

    (National School of Computer Sciences (ENSI), Univesity of Manouba, Manouba, Tunisia)

  • Sofien Gannouni

    (CCIS, King Saud University, Riyadh, Saudi Arabia)

Abstract

While existing localization approaches mainly focus on enhancing the accuracy, particular attention has recently been given to reducing the localization algorithm implementation costs. To obtain a tradeoff between location accuracy and implementation cost, recursive localization approaches are being pursued as a cost-effective alternative to the more expensive localization approaches. In the recursive approach, localization information increases progressively as new nodes compute their positions and become themselves reference nodes. A strategy is then required to control and maintain the distribution of these new reference nodes. The lack of such a strategy leads, especially in high density networks, to wasted energy, important communication overhead and even impacts the localization accuracy. In this paper, the authors propose an efficient recursive localization approach that reduces the energy consumption, the execution time, and the communication overhead, yet it increases the localization accuracy through an adequate distribution of reference nodes within the network.

Suggested Citation

  • Badia Bouhdid & Wafa Akkari & Sofien Gannouni, 2017. "Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 13(3), pages 68-88, July.
  • Handle: RePEc:igg:jswis0:v:13:y:2017:i:3:p:68-88
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSWIS.2017070104
    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:jswis0:v:13:y:2017:i:3:p:68-88. 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.