Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies

This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality...

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Main Authors: Gonçalo Marques, Nuno Miranda, Akash Kumar Bhoi, Begonya Garcia-Zapirain, Sofiane Hamrioui, Isabel de la Torre Díez
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/3/720
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author Gonçalo Marques
Nuno Miranda
Akash Kumar Bhoi
Begonya Garcia-Zapirain
Sofiane Hamrioui
Isabel de la Torre Díez
author_facet Gonçalo Marques
Nuno Miranda
Akash Kumar Bhoi
Begonya Garcia-Zapirain
Sofiane Hamrioui
Isabel de la Torre Díez
author_sort Gonçalo Marques
collection DOAJ
description This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality.
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spelling doaj.art-3e59cb267aac4425b12fd537631085012022-12-22T02:18:39ZengMDPI AGSensors1424-82202020-01-0120372010.3390/s20030720s20030720Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing TechnologiesGonçalo Marques0Nuno Miranda1Akash Kumar Bhoi2Begonya Garcia-Zapirain3Sofiane Hamrioui4Isabel de la Torre Díez5Polytechnic Institute of Guarda, 6300-559 Guarda, PortugalPolytechnic Institute of Guarda, 6300-559 Guarda, PortugalDepartment of Electrical & Electronics Engineering Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University (SMU), Sikkim, 737136 Majhitar, IndiaeVIDA research group, University of Deusto, Avda/Universidades 24, 48007 Bilbao, SpainPolytech School, University of Nantes, CNRS, IETR UMRS 6164, 85000 La Roche-sur-Yon, FranceDepartment of Signal Theory and Communications, and Telematics Engineering University of Valladolid 12 Paseo de Belén, 15, 47011 Valladolid, SpainThis paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality.https://www.mdpi.com/1424-8220/20/3/720air qualityenhanced living environmentsinternet of thingsmobile computingmobile health
spellingShingle Gonçalo Marques
Nuno Miranda
Akash Kumar Bhoi
Begonya Garcia-Zapirain
Sofiane Hamrioui
Isabel de la Torre Díez
Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
Sensors
air quality
enhanced living environments
internet of things
mobile computing
mobile health
title Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
title_full Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
title_fullStr Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
title_full_unstemmed Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
title_short Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies
title_sort internet of things and enhanced living environments measuring and mapping air quality using cyber physical systems and mobile computing technologies
topic air quality
enhanced living environments
internet of things
mobile computing
mobile health
url https://www.mdpi.com/1424-8220/20/3/720
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