Título

A novel air quality monitoring unit using Cloudino and FIWARE technologies

Autor

Yolanda Raquel Baca Gómez

Hugo Estrada Esquivel

Alicia Martinez Rebollar

DANIEL VILLANUEVA VASQUEZ

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by/4.0

Referencia de publicación

URL/https://www.mdpi.com/2297-8747/24/1/15/htm

doi: https://doi.org/10.3390/mca24010015

Materias

Smart cities - (MDPI) Cloudino - (MDPI) Data model - (MDPI) INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS TECNOLÓGICAS - (CTI) OTRAS ESPECIALIDADES TECNOLÓGICAS - (CTI) OTRAS - (CTI) OTRAS - (CTI)

Resumen o descripción

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.

Editor

MDPI

Fecha de publicación

24 de enero de 2019

Tipo de publicación

Artículo

Versión de la publicación

Versión publicada

Recurso de información

http://infotec.repositorioinstitucional.mx/jspui/handle/1027/434

Formato

application/pdf

Fuente

Mathematical Computational Applications, No. 24(1), Issue 15

Idioma

Inglés

Sugerencia de citación

Baca Gómez, Y. R., Estrada Esquivel, H., Martínez Rebollar, A., Villanueva Vásquez, D., 2019. A novel air quality monitoring unit using Cloudino and FIWARE technologies. Mathematical Computational Applications 2019, No. 24(1), Issue 15. https://doi.org/10.3390/mca24010015

Repositorio Orígen

Repositorio Institucional de INFOTEC

Descargas

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