Abstract : Wireless Sensor Networks have critical resource constraints and minimizing resources usage is crucial to extend the network lifetime. Energy saving in WSNs can be achieved through several techniques, such as topology control and clustering, to provide a longer lifetime and scalability to the network. In this paper we propose a semantic clustering model based on a fuzzy inference system to find out the semantic neighborhood relationships in the network. As a case study we describe the structural health monitoring domain application which has been used to illustrate and verify the proposed model.
Ana Pont; Guy Pujolle; S. V. Raghavan. Third IFIP TC6 International Conference on Wireless Communications and Information Technology in Developing Countries (WCITD) / IFIP TC 6 International Network of the Future Conference (NF) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-327, pp.3-14, 2010, Communications: Wireless in Developing Countries and Networks of the Future. 〈10.1007/978-3-642-15476-8_2〉
https://hal.inria.fr/hal-01054739
Contributeur : Hal Ifip
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Soumis le : vendredi 8 août 2014 - 14:24:55
Dernière modification le : lundi 8 octobre 2018 - 20:56:05
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 16:07:21
Atslands Rego Rocha, Igor Leão Santos, Luci Pirmez, Flávia C. Delicato, Danielo G. Gomes, et al.. Semantic Clustering in Wireless Sensor Networks. Ana Pont; Guy Pujolle; S. V. Raghavan. Third IFIP TC6 International Conference on Wireless Communications and Information Technology in Developing Countries (WCITD) / IFIP TC 6 International Network of the Future Conference (NF) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-327, pp.3-14, 2010, Communications: Wireless in Developing Countries and Networks of the Future. 〈10.1007/978-3-642-15476-8_2〉. 〈hal-01054739〉
