IoT-based air quality monitoring systems for smart cities: A systematic mapping study

Danny Múnera, V. Diana, Johnny Aguirre, Natalia Gaviria Gómez

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

Resumen

The increased level of air pollution in big cities has become a major concern for several organizations and authorities because of the risk it represents to human health. In this context, the technology has become a very useful tool in the contamination monitoring and the possible mitigation of its impact. Particularly, there are different proposals using the internet of things (IoT) paradigm that use interconnected sensors in order to measure different pollutants. In this paper, we develop a systematic mapping study defined by a five-step methodology to identify and analyze the research status in terms of IoT-based air pollution monitoring systems for smart cities. The study includes 55 proposals, some of which have been implemented in a real environment. We analyze and compare these proposals in terms of different parameters defined in the mapping and highlight some challenges for air quality monitoring systems implementation into the smart city context.

Idioma originalInglés
Páginas (desde-hasta)3470-3482
Número de páginas13
PublicaciónInternational Journal of Electrical and Computer Engineering
Volumen11
N.º4
DOI
EstadoPublicada - ago 2021

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