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Open AccessArticle

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

1
Polytechnic Institute of Guarda, 6300-559 Guarda, Portugal
2
Institute of Telecommunications, University of Beira Interior, 6200-001 Covilhã, Portugal
3
Department of Electrical & Electronics Engineering Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University (SMU), Sikkim, 737136 Majhitar, India
4
eVIDA research group, University of Deusto, Avda/Universidades 24, 48007 Bilbao, Spain
5
Polytech School, University of Nantes, CNRS, IETR UMRS 6164, 85000 La Roche-sur-Yon, France
6
Department of Signal Theory and Communications, and Telematics Engineering University of Valladolid 12 Paseo de Belén, 15, 47011 Valladolid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 720; https://doi.org/10.3390/s20030720
Received: 21 December 2019 / Revised: 18 January 2020 / Accepted: 24 January 2020 / Published: 28 January 2020
(This article belongs to the Special Issue Air Quality and Sensor Networks)
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. View Full-Text
Keywords: air quality; enhanced living environments; internet of things; mobile computing; mobile health air quality; enhanced living environments; internet of things; mobile computing; mobile health
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MDPI and ACS Style

Marques, G.; Miranda, N.; Kumar Bhoi, A.; Garcia-Zapirain, B.; Hamrioui, S.; de la Torre Díez, I. Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies. Sensors 2020, 20, 720.

AMA Style

Marques G, Miranda N, Kumar Bhoi A, Garcia-Zapirain B, Hamrioui S, de la Torre Díez I. Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies. Sensors. 2020; 20(3):720.

Chicago/Turabian Style

Marques, Gonçalo; Miranda, Nuno; Kumar Bhoi, Akash; Garcia-Zapirain, Begonya; Hamrioui, Sofiane; de la Torre Díez, Isabel. 2020. "Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies" Sensors 20, no. 3: 720.

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