City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices

• Main Authors: Steven J. Johnston, Philip J. Basford, Florentin M. J. Bulot, Mihaela Apetroaie-Cristea, Natasha H. C. Easton, Charlie Davenport, Gavin L. Foster, Matthew Loxham, Andrew K. R. Morris, Simon J. Cox
• Format: Article
• Language: English
• Published: MDPI AG 2019-01-01
• Series: Sensors
• Subjects: Internet of Things; wireless sensor networks; air quality; LoRaWAN; Raspberry Pi; urban pollution
• Online Access: http://www.mdpi.com/1424-8220/19/1/209

Air Quality (AQ) is a very topical issue for many cities and has a direct impact on citizen health. The AQ of a large UK city is being investigated using low-cost Particulate Matter (PM) sensors, and the results obtained by these sensors have been compared with government operated AQ stations. In the first pilot deployment, six AQ Internet of Things (IoT) devices have been designed and built, each with four different low-cost PM sensors, and they have been deployed at two locations within the city. These devices are equipped with LoRaWAN wireless network transceivers to test city scale Low-Power Wide Area Network (LPWAN) coverage. The study concludes that (i) the physical device developed can operate at a city scale; (ii) some low-cost PM sensors are viable for monitoring AQ and for detecting PM trends; (iii) LoRaWAN is suitable for city scale sensor coverage where connectivity is an issue. Based on the findings from this first pilot project, a larger LoRaWAN enabled AQ sensor network is being deployed across the city of Southampton in the UK.