An Internet of Things Platform for Air Station Remote Sensing and Smart Monitoring

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URI: http://hdl.handle.net/10498/24829
DOI: 10.32604/csse.2020.35.005
ISSN: 0267-6192
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2020Department
Ingeniería en Automática, Electrónica, Arquitectura y Redes de Computadores; Ingeniería InformáticaSource
Computer Systems Science and Engineering Vol. 35, no.1, pp. 5–12Abstract
Air pollution is currently receiving more attention by international governments and organizations. Nevertheless, current systems for air quality monitoring lack essential requirements which are key in order to be effective concerning users’ access to the information and efficient regarding real-time monitoring and notification. This paper presents an Internet of Things platform for air station remote sensing and smart monitoring that combines Big Data and Cloud Computing paradigms to process and correlate air pollutant concentrations coming from multiple remote stations, as well as to trigger automatic and personalized alerts when a health risk for their particular context is detected. This platform has been tested by analyzing the results of observing Andalusian, South of Spain, sensor network during a long period of time. The results show that this novel solution can help to reduce the impact of air pollution on human health since citizens are alerted in real time.
Subjects
Air quality; Environmental Monitoring; Remote sensing; Internet of ThingsCollections
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- Articulos Científicos Ing. Inf. [134]