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A Novel Air Quality Monitoring Unit Using Cloudino and FIWARE Technologies

1
National Council of Science and Technology (CONACyT), 03940 Mexico City, Mexico
2
National Center for Research and Technological Development (CENIDET), 62490 Cuernavaca, Mexico
3
Center for Research and Innovation in Information and Communication Technologies (INFOTEC), 14050 Mexico City, Mexico
*
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2019, 24(1), 15; https://doi.org/10.3390/mca24010015
Received: 27 December 2018 / Revised: 20 January 2019 / Accepted: 22 January 2019 / Published: 24 January 2019
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Abstract

Smart City applications aim to improve the quality of life of citizens. Applying technologies of the Internet of Things (IoT) to urban environments is considered as a key of the development of smart cities. In this context, air pollution is one of the most important factors affecting the quality of life and the health of the increasing urban population of industrial societies. For this reason, it is essential to develop applications that allow citizens monitoring the concentration of pollutants and avoid places with high levels of pollution. Due to the increasing use of IoT in different areas, there are arising platforms which deal with the challenges IoT implies, such as FIWARE, which provides technologies to facilitate the development of IoT applications. In this paper, an Air Quality Monitoring Unit using Cloudino and Arduino devices and FIWARE technologies is presented. Through Cloudino and Arduino, the monitoring unit gather data from various sensors and transforms the data in a FIWARE data model. Then, the measurements are sent to the Orion Context Broker (OCB), which is a software component provided by FIWARE. The Orion Context Broker allows to manage and publish the data to be consumed by users and applications. View Full-Text
Keywords: smart cities; air quality; IoT; FIWARE; data model; Cloudino smart cities; air quality; IoT; FIWARE; data model; Cloudino
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Baca Gómez, Y.R.; Estrada Esquivel, H.; Martínez Rebollar, A.; Villanueva Vásquez, D. A Novel Air Quality Monitoring Unit Using Cloudino and FIWARE Technologies. Math. Comput. Appl. 2019, 24, 15.

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