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This paper presents the development of high-performance wireless sensor networks for local monitoring of air pollution. The proposed system, enabled by the Internet of Things (IoT), is based on low-cost sensors collocated in a redundant configuration for collecting and transferring air quality data. Reliability and accuracy of the monitoring system are enhanced by using extended fractional-order Kalman filtering (EFKF) for data assimilation and recovery of the missing information. Its effectiveness is verified through monitoring particulate matters at a suburban site during the wildfire season 2019–2020 and the Coronavirus disease 2019 (COVID-19) lockdown period. The proposed approach is of interest to achieve microclimate responsiveness in a local area.

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Receptor free fluorescent and colorimetric sensors for solution and vapor phase detection of hazardous pollutant nitrobenzene; a new structural approach to design AIEE active and piezofluorochromic sensors - ScienceDirect

Ultrasonic Parking Sensors for Automated Parking, parking sensors

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UArctic - University of the Arctic - Thematic Network on Arctic

Figure 1 from Wireless sensor network for real-time air pollution

Cellular base station network antenna, air pollution and

Final Good Neighbor Plan aims to reduce air pollution

Airly fights air pollution with a network of affordable sensors