An intelligent fuzzy-based cluster head selection system for WSNs and its performance evaluation for D3N parameter

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/125525

dc.contributor	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.author	Ando, Hironori
dc.contributor.author	Barolli, Leonard
dc.contributor.author	Durresi, Arjan
dc.contributor.author	Xhafa Xhafa, Fatos
dc.contributor.author	Koyama, Akio
dc.date	2010
dc.identifier.citation	Ando, H., Barolli, L., Durresi, A., Xhafa, F., Koyama, A. An intelligent fuzzy-based cluster head selection system for WSNs and its performance evaluation for D3N parameter. A: International Conference on Broadband and Wireless Computing, Communication and Applications. "2010 International Conference on Broadband, Wireless Computing Communication and Applications, BWCCA 2010, 4-6 November 2010, Fukuoka, Japan: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2010, p. 648-653.
dc.identifier.citation	978-1-4244-8448-5
dc.identifier.citation	10.1109/BWCCA.2010.149
dc.identifier.uri	http://hdl.handle.net/2117/125525
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5633900
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject	Fuzzy logic
dc.subject	Wireless sensor networks
dc.subject	Clustering algorithms
dc.subject	Performance evaluation
dc.subject	Lògica difusa
dc.subject	Xarxes de sensors
dc.title	An intelligent fuzzy-based cluster head selection system for WSNs and its performance evaluation for D3N parameter
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbour nodes. We call this algorithm F3N. In this paper, we evaluate F3N and LEACH by some simulation results. From the simulation results, we found that the probability of a not to be a cluster head is increased with increase of number of neighbour nodes and remained battery power decrease of distance from the cluster centroid.
dc.description.abstract	Peer Reviewed

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