Data Centric Storage Technologies: Analysis and Enhancement

This paper surveys the most relevant works of Data Centric Storage (DCS) for Wireless Sensor Networks. DCS is a research area that covers data dissemination and storage inside an ad-hoc sensor network. In addition, we present a Quadratic Adaptive Replication (QAR) scheme for DCS, which is a more ada...

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Detalles Bibliográficos
Autores principales: Rumín, Ángel Cuevas, Pascual, Manuel Urueña, Ortega, Ricardo Romeral, López, David Larrabeiti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274212/
https://www.ncbi.nlm.nih.gov/pubmed/22319285
http://dx.doi.org/10.3390/s100403023
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author Rumín, Ángel Cuevas
Pascual, Manuel Urueña
Ortega, Ricardo Romeral
López, David Larrabeiti
author_facet Rumín, Ángel Cuevas
Pascual, Manuel Urueña
Ortega, Ricardo Romeral
López, David Larrabeiti
author_sort Rumín, Ángel Cuevas
collection PubMed
description This paper surveys the most relevant works of Data Centric Storage (DCS) for Wireless Sensor Networks. DCS is a research area that covers data dissemination and storage inside an ad-hoc sensor network. In addition, we present a Quadratic Adaptive Replication (QAR) scheme for DCS, which is a more adaptive multi-replication DCS system and outperforms previous proposals in the literature by reducing the overall network traffic that has a direct impact on energy consumption. Finally, we discuss the open research challenges for DCS.
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spelling pubmed-32742122012-02-08 Data Centric Storage Technologies: Analysis and Enhancement Rumín, Ángel Cuevas Pascual, Manuel Urueña Ortega, Ricardo Romeral López, David Larrabeiti Sensors (Basel) Article This paper surveys the most relevant works of Data Centric Storage (DCS) for Wireless Sensor Networks. DCS is a research area that covers data dissemination and storage inside an ad-hoc sensor network. In addition, we present a Quadratic Adaptive Replication (QAR) scheme for DCS, which is a more adaptive multi-replication DCS system and outperforms previous proposals in the literature by reducing the overall network traffic that has a direct impact on energy consumption. Finally, we discuss the open research challenges for DCS. Molecular Diversity Preservation International (MDPI) 2010-03-30 /pmc/articles/PMC3274212/ /pubmed/22319285 http://dx.doi.org/10.3390/s100403023 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
Rumín, Ángel Cuevas
Pascual, Manuel Urueña
Ortega, Ricardo Romeral
López, David Larrabeiti
Data Centric Storage Technologies: Analysis and Enhancement
title Data Centric Storage Technologies: Analysis and Enhancement
title_full Data Centric Storage Technologies: Analysis and Enhancement
title_fullStr Data Centric Storage Technologies: Analysis and Enhancement
title_full_unstemmed Data Centric Storage Technologies: Analysis and Enhancement
title_short Data Centric Storage Technologies: Analysis and Enhancement
title_sort data centric storage technologies: analysis and enhancement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274212/
https://www.ncbi.nlm.nih.gov/pubmed/22319285
http://dx.doi.org/10.3390/s100403023
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AT lopezdavidlarrabeiti datacentricstoragetechnologiesanalysisandenhancement

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