Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks

Badia Bouhdid, Wafa Akkari and Sofien Gannouni
Additional contact information
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

International Journal on Semantic Web and Information Systems (IJSWIS), 2017, vol. 13, issue 3, 68-88

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.

Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJSWIS.2017070104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:13:y:2017:i:3:p:68-88

Access Statistics for this article

International Journal on Semantic Web and Information Systems (IJSWIS) is currently edited by Brij Gupta

More articles in International Journal on Semantic Web and Information Systems (IJSWIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().