An Internet of Things Platform for Air Station Remote Sensing and Smart Monitoring |
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Authors: | David Corral-Plaza Juan Boubeta-Puig Guadalupe Ortiz Alfonso Garcia-de-Prado |
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Affiliation: | 1 Department of Computer Science and Engineering, University of Cadiz, Avda. de la Universidad de Cádiz no 10, 11519, Puerto Real, Cádiz, Spain2 Department of Computer Technology and Architecture, University of Cadiz, Avda. de la Universidad de Cádiz no 10, 11519, Puerto Real, Cádiz, Spain |
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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 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. |
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Keywords: | Air quality Environmental Monitoring Remote sensing Internet of Things |
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