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A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications

This paper presents the implementation of a wearable wireless sensor network aimed at monitoring harmful gases in industrial environments. The proposed solution is based on a customized wearable sensor node using a low-power low-rate wireless personal area network (LR-WPAN) communications protocol,...

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Detalles Bibliográficos
Autores principales: Antolín, Diego, Medrano, Nicolás, Calvo, Belén, Pérez, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335942/
https://www.ncbi.nlm.nih.gov/pubmed/28216556
http://dx.doi.org/10.3390/s17020365
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author Antolín, Diego
Medrano, Nicolás
Calvo, Belén
Pérez, Francisco
author_facet Antolín, Diego
Medrano, Nicolás
Calvo, Belén
Pérez, Francisco
author_sort Antolín, Diego
collection PubMed
description This paper presents the implementation of a wearable wireless sensor network aimed at monitoring harmful gases in industrial environments. The proposed solution is based on a customized wearable sensor node using a low-power low-rate wireless personal area network (LR-WPAN) communications protocol, which as a first approach measures CO(2) concentration, and employs different low power strategies for appropriate energy handling which is essential to achieving long battery life. These wearables nodes are connected to a deployed static network and a web-based application allows data storage, remote control and monitoring of the complete network. Therefore, a complete and versatile remote web application with a locally implemented decision-making system is accomplished, which allows early detection of hazardous situations for exposed workers.
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spelling pubmed-53359422017-03-16 A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications Antolín, Diego Medrano, Nicolás Calvo, Belén Pérez, Francisco Sensors (Basel) Article This paper presents the implementation of a wearable wireless sensor network aimed at monitoring harmful gases in industrial environments. The proposed solution is based on a customized wearable sensor node using a low-power low-rate wireless personal area network (LR-WPAN) communications protocol, which as a first approach measures CO(2) concentration, and employs different low power strategies for appropriate energy handling which is essential to achieving long battery life. These wearables nodes are connected to a deployed static network and a web-based application allows data storage, remote control and monitoring of the complete network. Therefore, a complete and versatile remote web application with a locally implemented decision-making system is accomplished, which allows early detection of hazardous situations for exposed workers. MDPI 2017-02-14 /pmc/articles/PMC5335942/ /pubmed/28216556 http://dx.doi.org/10.3390/s17020365 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Antolín, Diego
Medrano, Nicolás
Calvo, Belén
Pérez, Francisco
A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications
title A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications
title_full A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications
title_fullStr A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications
title_full_unstemmed A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications
title_short A Wearable Wireless Sensor Network for Indoor Smart Environment Monitoring in Safety Applications
title_sort wearable wireless sensor network for indoor smart environment monitoring in safety applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335942/
https://www.ncbi.nlm.nih.gov/pubmed/28216556
http://dx.doi.org/10.3390/s17020365
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