David Corral-Plaza1, Juan Boubeta-Puig1, Guadalupe Ortiz1, Alfonso Garcia-de-Prado2,*
Computer Systems Science and Engineering, Vol.35, No.1, pp. 5-12, 2020, DOI:10.32604/csse.2020.35.005
Abstract 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… More >
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