Improving clustering techniques in wireless sensor networks using thinning process - Performance Evaluation of Computer and Communication Systems: Milestones and Future Challenges Access content directly
Conference Papers Year : 2010

Improving clustering techniques in wireless sensor networks using thinning process

Abstract

We propose a rapid cluster formation algorithm using a thinning technique : rC-MHP(rapid Clustering inspired from Matérn Hard-Core Process). In order to prove its performance, it is compared with a well known cluster formation heuristic: Max-Min. Experimental results show that rC-MHP outperforms Max-Min in terms of messages needed to choose the cluster head, cluster head maintenance and memory requirement, comprehensively in sparse as well as in dense networks. We show that rC-MHP has a scalable behavior and it is very easy to implement. rC-MHP can be used as an efficient clustering technique
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hal-01347786 , version 1 (21-07-2016)

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Monique Becker, Ashish Gupta, Michel Marot, Harmeet Singh. Improving clustering techniques in wireless sensor networks using thinning process. Performance Evaluation of Computer and Communication Systems (PERFORM), Oct 2010, Vienne, Austria. pp.203-214, ⟨10.1007/978-3-642-25575-5_17⟩. ⟨hal-01347786⟩
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