A hierarchical clustering algorithm based on spectral classification for Wireless Sensor Networks

TitreA hierarchical clustering algorithm based on spectral classification for Wireless Sensor Networks
Publication TypeConference Paper
Year of Publication2014
AuthorsJorio, Aa, Fkihi, SbEl, Elbhiri, Bc, Aboutajdine, Da
Conference NameInternational Conference on Multimedia Computing and Systems -Proceedings
Abstract

A Wireless Sensor Network (WSN) is composed of a large number of autonomous and compact devices called sensor nodes. This network can be an effective tool for gathering data in a variety of enviornments. However, These sensor nodes have some constraints due to their limited energy, storage capacity and computing power. Therefor, saving energy and, thus extending the WSN lifetime entails great challenges. In order to prolong the lifetime of WSN, this study presents a hierarchical clustering algorithm based on spectral classification (HCA-SC). First, to overcome the ideal distribution of clusters, HCA-SC partition the network by spectral classification algorithm. Second, for each cluster, HCA-SC selects a node as a cluster head with regard residual energy and distance from base station. Simulation results showed that our algorithm performs better in reducing the energy consumption of sensor nodes and effectively improves the lifetime of wireless sensor networks. © 2014 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84928732445&doi=10.1109%2fICMCS.2014.6911354&partnerID=40&md5=2070584e9f01d9b450a2a4a005ba6a08
DOI10.1109/ICMCS.2014.6911354
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