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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fouchal, S. Monnet, Q. Mansouri, D. Mokdad, L. Ioualalen, M. |
| Copyright Year | 2012 |
| 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.) |
| 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. |
| Starting Page | 000888 |
| Ending Page | 000892 |
| File Size | 945369 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467327121 |
| ISSN | 15301346 |
| e-ISBN | 9781467327138 |
| e-ISBN | 9781467327114 |
| DOI | 10.1109/ISCC.2012.6249414 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-01 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Clustering algorithms Sensors Energy consumption Ad hoc networks Partitioning algorithms Energy measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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