Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador Alvear Puertas, Vanessa E. Marcillo, Fabricio Internet of things Environmental monitoring Air-quality measurement Machine learning application Data analysis Nowadays, increasing air-pollution levels are a public health concern that affects all living beings, with the most polluting gases being present in urban environments. For this reason, this research presents portable Internet of Things (IoT) environmental monitoring devices that can be installed in vehicles and that send message queuing telemetry transport (MQTT) messages to a server, with a time series database allocated in edge computing. The visualization stage is performed in cloud computing to determine the city air-pollution concentration using three different labels: low, normal, and high. To determine the environmental conditions in Ibarra, Ecuador, a data analysis scheme is used with outlier detection and supervised classification stages. In terms of relevant results, the performance percentage of the IoT nodes used to infer air quality was greater than 90%. In addition, the memory consumption was 14 Kbytes in a flash and 3 Kbytes in a RAM, reducing the power consumption and bandwidth needed in traditional air-pollution measuring stations. 2022-10-18T06:45:33Z 2022-10-18T06:45:33Z 2022-09-16 journal article Alvear-Puertas, V.E... [et al.]. Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador. Sensors 2022, 22, 7015. [https://doi.org/10.3390/s22187015] https://hdl.handle.net/10481/77366 10.3390/s22187015 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional MDPI