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Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields

Many sensor applications are aimed for mobile objects, where conventional routing approaches of data delivery might fail. Such applications are habitat monitoring, human probes or vehicular sensing systems. This paper targets such applications and proposes lightweight proactive distributed data coll...

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Detalles Bibliográficos
Autores principales: Macuha, Martin, Tariq, Muhammad, Sato, Takuro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231689/
https://www.ncbi.nlm.nih.gov/pubmed/22164011
http://dx.doi.org/10.3390/s110707188
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author Macuha, Martin
Tariq, Muhammad
Sato, Takuro
author_facet Macuha, Martin
Tariq, Muhammad
Sato, Takuro
author_sort Macuha, Martin
collection PubMed
description Many sensor applications are aimed for mobile objects, where conventional routing approaches of data delivery might fail. Such applications are habitat monitoring, human probes or vehicular sensing systems. This paper targets such applications and proposes lightweight proactive distributed data collection scheme for Mobile Sensor Networks (MSN) based on the theory of thermal fields. By proper mapping, we create distribution function which allows considering characteristics of a sensor node. We show the functionality of our proposed forwarding method when adapted to the energy of sensor node. We also propose enhancement in order to maximize lifetime of the sensor nodes. We thoroughly evaluate proposed solution and discuss the tradeoffs.
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spelling pubmed-32316892011-12-07 Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields Macuha, Martin Tariq, Muhammad Sato, Takuro Sensors (Basel) Article Many sensor applications are aimed for mobile objects, where conventional routing approaches of data delivery might fail. Such applications are habitat monitoring, human probes or vehicular sensing systems. This paper targets such applications and proposes lightweight proactive distributed data collection scheme for Mobile Sensor Networks (MSN) based on the theory of thermal fields. By proper mapping, we create distribution function which allows considering characteristics of a sensor node. We show the functionality of our proposed forwarding method when adapted to the energy of sensor node. We also propose enhancement in order to maximize lifetime of the sensor nodes. We thoroughly evaluate proposed solution and discuss the tradeoffs. Molecular Diversity Preservation International (MDPI) 2011-07-14 /pmc/articles/PMC3231689/ /pubmed/22164011 http://dx.doi.org/10.3390/s110707188 Text en © 2011 by the authors; licensee MDPI, 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
Macuha, Martin
Tariq, Muhammad
Sato, Takuro
Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields
title Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields
title_full Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields
title_fullStr Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields
title_full_unstemmed Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields
title_short Data Collection Method for Mobile Sensor Networks Based on the Theory of Thermal Fields
title_sort data collection method for mobile sensor networks based on the theory of thermal fields
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231689/
https://www.ncbi.nlm.nih.gov/pubmed/22164011
http://dx.doi.org/10.3390/s110707188
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