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Author Fouchal, S. ♦ Monnet, Q. ♦ Mansouri, D. ♦ Mokdad, L. ♦ Ioualalen, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Social sciences ♦ Commerce, communications & transportation ♦ Communications; telecommunication
Subject Keyword Wireless sensor networks ♦ Clustering algorithms ♦ Sensors ♦ Energy consumption ♦ Ad hoc networks ♦ Partitioning algorithms ♦ Energy measurement
Abstract Clustering algorithms have been widely used in many domains so as to partition a set of elements into several subsets, each subset (or “cluster”) grouping elements which share some similarities. These algorithms are particularly useful in wireless sensor networks (WSNs), where they allow data aggregation and energy cuts. By forming clusters and electing cluster heads responsible for forwarding their packets, the small devices that compose WSNs have not to reach directly the base station (BS) of the network. They spare energy and they can lead further in time their measuring task, so as to detect forest fires or water pollution for example. In this paper, we will apply a new and general clustering algorithm, based on classificability and ultrametric properties, to a WSN. Our goal is to get clusters with a low computational complexity, but with an optimal structure regarding energy consumption.
Description Author affiliation: Laboratoire LACL, University of Paris-Est (Monnet, Q.; Mokdad, L.) || Laboratoire LSI USTHB, Algeria (Mansouri, D.; Ioualalen, M.) || Laboratoire LSIIT (BFO) University of Strasbourg (Fouchal, S.)
ISBN 9781467327121
ISSN 15301346
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-07-01
Publisher Place Turkey
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467327138
Size (in Bytes) 923.21 kB
Page Count 5
Starting Page 000888
Ending Page 000892


Source: IEEE Xplore Digital Library