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Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks

Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks

Badia Bouhdid, Wafa Akkari, Sofien Gannouni
Copyright: © 2017 |Volume: 13 |Issue: 3 |Pages: 21
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522511595|DOI: 10.4018/IJSWIS.2017070104
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MLA

Bouhdid, Badia, et al. "Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks." IJSWIS vol.13, no.3 2017: pp.68-88. http://doi.org/10.4018/IJSWIS.2017070104

APA

Bouhdid, B., Akkari, W., & Gannouni, S. (2017). Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks. International Journal on Semantic Web and Information Systems (IJSWIS), 13(3), 68-88. http://doi.org/10.4018/IJSWIS.2017070104

Chicago

Bouhdid, Badia, Wafa Akkari, and Sofien Gannouni. "Low Cost Recursive Localization scheme for High Density Wireless Sensor Networks," International Journal on Semantic Web and Information Systems (IJSWIS) 13, no.3: 68-88. http://doi.org/10.4018/IJSWIS.2017070104

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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.

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