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Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models
Power consumption is the main concern in developing Wireless Sensor Network (WSN) applications. Consequently, several strategies have been proposed for investigating the power consumption of this kind of application. These strategies can help to predict the WSN lifetime, provide recommendations to a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658757/ https://www.ncbi.nlm.nih.gov/pubmed/23486217 http://dx.doi.org/10.3390/s130303473 |
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author | Dâmaso, Antônio Freitas, Davi Rosa, Nelson Silva, Bruno Maciel, Paulo |
author_facet | Dâmaso, Antônio Freitas, Davi Rosa, Nelson Silva, Bruno Maciel, Paulo |
author_sort | Dâmaso, Antônio |
collection | PubMed |
description | Power consumption is the main concern in developing Wireless Sensor Network (WSN) applications. Consequently, several strategies have been proposed for investigating the power consumption of this kind of application. These strategies can help to predict the WSN lifetime, provide recommendations to application developers and may optimize the energy consumed by the WSN applications. While measurement is a known and precise strategy for power consumption evaluation, it is very costly, tedious and may be unfeasible considering the (usual) large number of WSN nodes. Furthermore, due to the inherent dynamism of WSNs, the instrumentation required by measurement techniques makes difficult their use in several different scenarios. In this context, this paper presents an approach for evaluating the power consumption of WSN applications by using simulation models along with a set of tools to automate the proposed approach. Starting from a programming language code, we automatically generate consumption models used to predict the power consumption of WSN applications. In order to evaluate the proposed approach, we compare the results obtained by using the generated models against ones obtained by measurement. |
format | Online Article Text |
id | pubmed-3658757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36587572013-05-30 Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models Dâmaso, Antônio Freitas, Davi Rosa, Nelson Silva, Bruno Maciel, Paulo Sensors (Basel) Article Power consumption is the main concern in developing Wireless Sensor Network (WSN) applications. Consequently, several strategies have been proposed for investigating the power consumption of this kind of application. These strategies can help to predict the WSN lifetime, provide recommendations to application developers and may optimize the energy consumed by the WSN applications. While measurement is a known and precise strategy for power consumption evaluation, it is very costly, tedious and may be unfeasible considering the (usual) large number of WSN nodes. Furthermore, due to the inherent dynamism of WSNs, the instrumentation required by measurement techniques makes difficult their use in several different scenarios. In this context, this paper presents an approach for evaluating the power consumption of WSN applications by using simulation models along with a set of tools to automate the proposed approach. Starting from a programming language code, we automatically generate consumption models used to predict the power consumption of WSN applications. In order to evaluate the proposed approach, we compare the results obtained by using the generated models against ones obtained by measurement. Molecular Diversity Preservation International (MDPI) 2013-03-13 /pmc/articles/PMC3658757/ /pubmed/23486217 http://dx.doi.org/10.3390/s130303473 Text en © 2013 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 Dâmaso, Antônio Freitas, Davi Rosa, Nelson Silva, Bruno Maciel, Paulo Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models |
title | Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models |
title_full | Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models |
title_fullStr | Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models |
title_full_unstemmed | Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models |
title_short | Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models |
title_sort | evaluating the power consumption of wireless sensor network applications using models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658757/ https://www.ncbi.nlm.nih.gov/pubmed/23486217 http://dx.doi.org/10.3390/s130303473 |
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