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Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks

Ceramic gas sensors used for measuring ambient air quality have features suitable for practical applications such as healthcare and air quality management, but have a major drawback—large power consumption to preheat the sensor for accurate measurements. In this paper; the adaptive preheating durati...

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Detalles Bibliográficos
Autores principales: Baek, Yoonchul, Atiq, Mahin K., Kim, Hyung Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004006/
https://www.ncbi.nlm.nih.gov/pubmed/24658619
http://dx.doi.org/10.3390/s140305536
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author Baek, Yoonchul
Atiq, Mahin K.
Kim, Hyung Seok
author_facet Baek, Yoonchul
Atiq, Mahin K.
Kim, Hyung Seok
author_sort Baek, Yoonchul
collection PubMed
description Ceramic gas sensors used for measuring ambient air quality have features suitable for practical applications such as healthcare and air quality management, but have a major drawback—large power consumption to preheat the sensor for accurate measurements. In this paper; the adaptive preheating duration control (APC) method is proposed to reduce the power consumption of ambient air quality sensor networks. APC reduces the duration of unnecessary preheating, thereby alleviating power consumption. Furthermore, the APC can allow systems to meet user requirements such as accuracy and periodicity factor when detecting the concentration of a target gas. A performance evaluation of the power consumption of gas sensors is conducted with various user requirements and factors that affect the preheating duration of the gas sensor. This shows that the power consumption of the APC is lower than that of continuous power supply methods and constant power supply/cutoff methods.
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spelling pubmed-40040062014-04-29 Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks Baek, Yoonchul Atiq, Mahin K. Kim, Hyung Seok Sensors (Basel) Article Ceramic gas sensors used for measuring ambient air quality have features suitable for practical applications such as healthcare and air quality management, but have a major drawback—large power consumption to preheat the sensor for accurate measurements. In this paper; the adaptive preheating duration control (APC) method is proposed to reduce the power consumption of ambient air quality sensor networks. APC reduces the duration of unnecessary preheating, thereby alleviating power consumption. Furthermore, the APC can allow systems to meet user requirements such as accuracy and periodicity factor when detecting the concentration of a target gas. A performance evaluation of the power consumption of gas sensors is conducted with various user requirements and factors that affect the preheating duration of the gas sensor. This shows that the power consumption of the APC is lower than that of continuous power supply methods and constant power supply/cutoff methods. MDPI 2014-03-20 /pmc/articles/PMC4004006/ /pubmed/24658619 http://dx.doi.org/10.3390/s140305536 Text en © 2014 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
Baek, Yoonchul
Atiq, Mahin K.
Kim, Hyung Seok
Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks
title Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks
title_full Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks
title_fullStr Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks
title_full_unstemmed Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks
title_short Adaptive Preheating Duration Control for Low-Power Ambient Air Quality Sensor Networks
title_sort adaptive preheating duration control for low-power ambient air quality sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004006/
https://www.ncbi.nlm.nih.gov/pubmed/24658619
http://dx.doi.org/10.3390/s140305536
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