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A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks

Wireless multimedia sensor nodes sense areas that are uncorrelated to the areas covered by radio neighbouring sensors. Thus, node clustering for coordinating multimedia sensing and processing cannot be based on classical sensor clustering algorithms. This paper presents a clustering mechanism for Wi...

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Detalles Bibliográficos
Autores principales: Alaei, Mohammad, Barcelo-Ordinas, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274216/
https://www.ncbi.nlm.nih.gov/pubmed/22319291
http://dx.doi.org/10.3390/s100403145
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author Alaei, Mohammad
Barcelo-Ordinas, Jose M.
author_facet Alaei, Mohammad
Barcelo-Ordinas, Jose M.
author_sort Alaei, Mohammad
collection PubMed
description Wireless multimedia sensor nodes sense areas that are uncorrelated to the areas covered by radio neighbouring sensors. Thus, node clustering for coordinating multimedia sensing and processing cannot be based on classical sensor clustering algorithms. This paper presents a clustering mechanism for Wireless Multimedia Sensor Networks (WMSNs) based on overlapped Field of View (FoV) areas. Overlapping FoVs in dense networks cause the wasting of power due to redundant area sensing. The main aim of the proposed clustering method is energy conservation and network lifetime prolongation. This objective is achieved through coordination of nodes belonging to the same cluster to perform assigned tasks in a cooperative manner avoiding redundant sensing or processing. A paradigm in this concept, a cooperative scheduling scheme for object detection, is presented based on the proposed clustering method.
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spelling pubmed-32742162012-02-08 A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks Alaei, Mohammad Barcelo-Ordinas, Jose M. Sensors (Basel) Article Wireless multimedia sensor nodes sense areas that are uncorrelated to the areas covered by radio neighbouring sensors. Thus, node clustering for coordinating multimedia sensing and processing cannot be based on classical sensor clustering algorithms. This paper presents a clustering mechanism for Wireless Multimedia Sensor Networks (WMSNs) based on overlapped Field of View (FoV) areas. Overlapping FoVs in dense networks cause the wasting of power due to redundant area sensing. The main aim of the proposed clustering method is energy conservation and network lifetime prolongation. This objective is achieved through coordination of nodes belonging to the same cluster to perform assigned tasks in a cooperative manner avoiding redundant sensing or processing. A paradigm in this concept, a cooperative scheduling scheme for object detection, is presented based on the proposed clustering method. Molecular Diversity Preservation International (MDPI) 2010-03-31 /pmc/articles/PMC3274216/ /pubmed/22319291 http://dx.doi.org/10.3390/s100403145 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Alaei, Mohammad
Barcelo-Ordinas, Jose M.
A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
title A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
title_full A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
title_fullStr A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
title_full_unstemmed A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
title_short A Method for Clustering and Cooperation in Wireless Multimedia Sensor Networks
title_sort method for clustering and cooperation in wireless multimedia sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274216/
https://www.ncbi.nlm.nih.gov/pubmed/22319291
http://dx.doi.org/10.3390/s100403145
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