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ES-WCA: Energy efficient and safe weighted clustering algorithm for mobile wireless sensor networks
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International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

ES-WCA: Energy efficient and safe weighted clustering algorithm for mobile wireless sensor networks


International Conference and Business Expo on Wireless Communication & Network

September 21-23, 2015 Baltimore, USA

Dahane Amine

University of Sciences and Technology of Oran, Algeria

Posters-Accepted Abstracts: Sensor Netw Data Commun

Abstract :

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.

Biography :

Email: amine_usto.info@yahoo.fr

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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