The University of Southampton
University of Southampton Institutional Repository

City scale particulate matter monitoring using LoRaWAN based air quality IoT devices

City scale particulate matter monitoring using LoRaWAN based air quality IoT devices
City scale particulate matter monitoring using LoRaWAN based air quality IoT devices
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.
Internet of Things, Wireless Sensor Networks, air quality, air quality monitoring stations, LoRaWAN, Raspberry Pi, Urban Pollution, POLLUTION
1424-8220
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Basford, Philip J
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Bulot, Florentin
47870de2-3ba2-4425-b07a-16ce48ee3956
Apetroaie-Cristea, Mihaela
5fc15df9-13e3-474a-b21b-7c457a1dc8eb
Easton, Natasha, Hazel Celeste
56583bc7-b005-40d8-8571-99d335430a8f
Davenport, Charlie
60a53441-1437-4693-b895-c2664bcd57b0
Foster, Gavin
fbaa7255-7267-4443-a55e-e2a791213022
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Morris, Andrew K.
0d154ca5-f00a-4eb8-a2b2-1a6e581bf7f1
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Basford, Philip J
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Bulot, Florentin
47870de2-3ba2-4425-b07a-16ce48ee3956
Apetroaie-Cristea, Mihaela
5fc15df9-13e3-474a-b21b-7c457a1dc8eb
Easton, Natasha, Hazel Celeste
56583bc7-b005-40d8-8571-99d335430a8f
Davenport, Charlie
60a53441-1437-4693-b895-c2664bcd57b0
Foster, Gavin
fbaa7255-7267-4443-a55e-e2a791213022
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Morris, Andrew K.
0d154ca5-f00a-4eb8-a2b2-1a6e581bf7f1
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55

Johnston, Steven, Basford, Philip J, Bulot, Florentin, Apetroaie-Cristea, Mihaela, Easton, Natasha, Hazel Celeste, Davenport, Charlie, Foster, Gavin, Loxham, Matthew, Morris, Andrew K. and Cox, Simon (2019) City scale particulate matter monitoring using LoRaWAN based air quality IoT devices. Sensors, 19 (1), [209]. (doi:10.3390/s19010209).

Record type: Article

Abstract

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.

Text
LoraForAQ-StevenJohnston - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (12MB)

More information

Accepted/In Press date: 20 December 2018
e-pub ahead of print date: 8 January 2019
Published date: 8 January 2019
Keywords: Internet of Things, Wireless Sensor Networks, air quality, air quality monitoring stations, LoRaWAN, Raspberry Pi, Urban Pollution, POLLUTION

Identifiers

Local EPrints ID: 427343
URI: http://eprints.soton.ac.uk/id/eprint/427343
ISSN: 1424-8220
PURE UUID: 1969dfea-abb1-41c6-aacb-2826ff851680
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Philip J Basford: ORCID iD orcid.org/0000-0001-6058-8270
ORCID for Gavin Foster: ORCID iD orcid.org/0000-0003-3688-9668
ORCID for Matthew Loxham: ORCID iD orcid.org/0000-0001-6459-538X

Catalogue record

Date deposited: 14 Jan 2019 17:30
Last modified: 16 Mar 2024 04:18

Export record

Altmetrics

Contributors

Author: Steven Johnston ORCID iD
Author: Florentin Bulot
Author: Mihaela Apetroaie-Cristea
Author: Natasha, Hazel Celeste Easton
Author: Charlie Davenport
Author: Gavin Foster ORCID iD
Author: Matthew Loxham ORCID iD
Author: Andrew K. Morris
Author: Simon Cox

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×