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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2011
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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. |
format | Online Article Text |
id | pubmed-3231689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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