Research Article
MegaSense: 5G and AI for Air Quality Monitoring
@INPROCEEDINGS{10.1007/978-3-030-51005-3_2, author={Sasu Tarkoma and Xiaoli Liu and Andrew Rebeiro-Hargrave and Samu Varjonen}, title={MegaSense: 5G and AI for Air Quality Monitoring}, proceedings={Science and Technologies for Smart Cities. 5th EAI International Summit, SmartCity360, Braga, Portugal, December 4-6, 2019, Proceedings}, proceedings_a={SMARTCITY}, year={2020}, month={7}, keywords={Internet of Things Air pollution sensing Smart cities}, doi={10.1007/978-3-030-51005-3_2} }- Sasu Tarkoma
Xiaoli Liu
Andrew Rebeiro-Hargrave
Samu Varjonen
Year: 2020
MegaSense: 5G and AI for Air Quality Monitoring
SMARTCITY
Springer
DOI: 10.1007/978-3-030-51005-3_2
Abstract
Air pollution has become a global challenge during the growth of megacities, which drives the deployment of air quality monitoring in order to understand and mitigate district level air pollution. Currently, air pollution monitoring mainly relies on high-end accurate reference stations, which are usually stationary and expensive. Thus, the air quality monitoring deployments are typically coarse grained with only a very small number of stations in a city. We propose scalable air quality monitoring by leveraging low-cost air pollution sensors, artificial intelligence methods, and versatile connectivity provided by 4G/5G. We describe pilot deployments for testing the developed sensing technologies in three different locations in Helsinki, Finland.
