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Energy Efficient and Safe Weighted Clustering Algorithm for Mobile Wireless Sensor Networks
Joint Authors
Dahane, Amine
Loukil, Abdelhamid
Kechar, Bouabdellah
Berrached, Nasr-Eddine
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-15
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Telecommunications Engineering
Abstract EN
The main concern of clustering approaches for mobile wireless sensor networks (WSNs) is to prolong the battery life of the individual sensors and the network lifetime.
For a successful clustering approach the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network.
The approach based on the computing of the weight of each node in the network is one of the proposed techniques to deal with this problem.
In this paper, we propose an energy efficient and safe weighted clustering algorithm (ES-WCA) for mobile WSNs 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, the highlight of our work is summarized in a comprehensive strategy for monitoring the network, in order to detect and remove the malicious nodes.
We use simulation study to demonstrate the performance of the proposed algorithm.
American Psychological Association (APA)
Dahane, Amine& Loukil, Abdelhamid& Kechar, Bouabdellah& Berrached, Nasr-Eddine. 2015. Energy Efficient and Safe Weighted Clustering Algorithm for Mobile Wireless Sensor Networks. Mobile Information Systems،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1072747
Modern Language Association (MLA)
Dahane, Amine…[et al.]. Energy Efficient and Safe Weighted Clustering Algorithm for Mobile Wireless Sensor Networks. Mobile Information Systems No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1072747
American Medical Association (AMA)
Dahane, Amine& Loukil, Abdelhamid& Kechar, Bouabdellah& Berrached, Nasr-Eddine. Energy Efficient and Safe Weighted Clustering Algorithm for Mobile Wireless Sensor Networks. Mobile Information Systems. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1072747
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072747