City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices
1
Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO16 7QF, UK
2
Faculty of Environmental and Life Sciences, University of Southampton, Southampton SO17 1BJ, UK
3
Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
4
National Oceanography Centre, Southampton, Southampton SO14 3ZH, UK
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(1), 209; https://doi.org/10.3390/s19010209
Received: 30 November 2018 / Revised: 19 December 2018 / Accepted: 20 December 2018 / Published: 8 January 2019
(This article belongs to the Special Issue Selected Papers from the 2nd Global IoT Summit: IoT Technologies and Applications for the Benefit of Society)
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.
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Keywords:
Internet of Things; wireless sensor networks; air quality; LoRaWAN; Raspberry Pi; urban pollution
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Johnston, S.J.; Basford, P.J.; Bulot, F.M.J.; Apetroaie-Cristea, M.; Easton, N.H.C.; Davenport, C.; Foster, G.L.; Loxham, M.; Morris, A.K.R.; Cox, S.J. City Scale Particulate Matter Monitoring Using LoRaWAN Based Air Quality IoT Devices. Sensors 2019, 19, 209.
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