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Power Consumption Analysis of Operating Systems for Wireless Sensor Networks
In this paper four wireless sensor network operating systems are compared in terms of power consumption. The analysis takes into account the most common operating systems—TinyOS v1.0, TinyOS v2.0, Mantis and Contiki—running on Tmote Sky and MICAz devices. With the objective of ensuring a fair evalua...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247733/ https://www.ncbi.nlm.nih.gov/pubmed/22219688 http://dx.doi.org/10.3390/s100605809 |
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author | Lajara, Rafael Pelegrí-Sebastiá, José Perez Solano, Juan J. |
author_facet | Lajara, Rafael Pelegrí-Sebastiá, José Perez Solano, Juan J. |
author_sort | Lajara, Rafael |
collection | PubMed |
description | In this paper four wireless sensor network operating systems are compared in terms of power consumption. The analysis takes into account the most common operating systems—TinyOS v1.0, TinyOS v2.0, Mantis and Contiki—running on Tmote Sky and MICAz devices. With the objective of ensuring a fair evaluation, a benchmark composed of four applications has been developed, covering the most typical tasks that a Wireless Sensor Network performs. The results show the instant and average current consumption of the devices during the execution of these applications. The experimental measurements provide a good insight into the power mode in which the device components are running at every moment, and they can be used to compare the performance of different operating systems executing the same tasks. |
format | Online Article Text |
id | pubmed-3247733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32477332012-01-04 Power Consumption Analysis of Operating Systems for Wireless Sensor Networks Lajara, Rafael Pelegrí-Sebastiá, José Perez Solano, Juan J. Sensors (Basel) Article In this paper four wireless sensor network operating systems are compared in terms of power consumption. The analysis takes into account the most common operating systems—TinyOS v1.0, TinyOS v2.0, Mantis and Contiki—running on Tmote Sky and MICAz devices. With the objective of ensuring a fair evaluation, a benchmark composed of four applications has been developed, covering the most typical tasks that a Wireless Sensor Network performs. The results show the instant and average current consumption of the devices during the execution of these applications. The experimental measurements provide a good insight into the power mode in which the device components are running at every moment, and they can be used to compare the performance of different operating systems executing the same tasks. Molecular Diversity Preservation International (MDPI) 2010-06-08 /pmc/articles/PMC3247733/ /pubmed/22219688 http://dx.doi.org/10.3390/s100605809 Text en © 2010 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 Lajara, Rafael Pelegrí-Sebastiá, José Perez Solano, Juan J. Power Consumption Analysis of Operating Systems for Wireless Sensor Networks |
title | Power Consumption Analysis of Operating Systems for Wireless Sensor Networks |
title_full | Power Consumption Analysis of Operating Systems for Wireless Sensor Networks |
title_fullStr | Power Consumption Analysis of Operating Systems for Wireless Sensor Networks |
title_full_unstemmed | Power Consumption Analysis of Operating Systems for Wireless Sensor Networks |
title_short | Power Consumption Analysis of Operating Systems for Wireless Sensor Networks |
title_sort | power consumption analysis of operating systems for wireless sensor networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247733/ https://www.ncbi.nlm.nih.gov/pubmed/22219688 http://dx.doi.org/10.3390/s100605809 |
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