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.
Zenodo
Davenport, Charlie
60a53441-1437-4693-b895-c2664bcd57b0
Foster, Gavin
fbaa7255-7267-4443-a55e-e2a791213022
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Morris, Andrew
00ef3bfb-219c-4ea7-86d2-dd4d71c083a6
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Bulot, Florentin
5ce5efd2-1bb7-4f55-a0de-c8cff4c152d8
Basford, Philip
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Apetroaie-Cristea, Mihaela
8c5dc3aa-59ad-4da7-8d98-7e960e5cc0fb
Easton, Natasha
18beeb87-ef47-4d7c-812a-b905631b8b28
Davenport, Charlie
60a53441-1437-4693-b895-c2664bcd57b0
Foster, Gavin
fbaa7255-7267-4443-a55e-e2a791213022
Loxham, Matthew
8ef02171-9040-4c1d-8452-2ca34c56facb
Morris, Andrew
00ef3bfb-219c-4ea7-86d2-dd4d71c083a6
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Bulot, Florentin
5ce5efd2-1bb7-4f55-a0de-c8cff4c152d8
Basford, Philip
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Apetroaie-Cristea, Mihaela
8c5dc3aa-59ad-4da7-8d98-7e960e5cc0fb
Easton, Natasha
18beeb87-ef47-4d7c-812a-b905631b8b28

(2018) City scale particulate matter monitoring using LoRaWAN based air quality IoT devices. Zenodo doi:10.5281/zenodo.1698620 [Dataset]

Record type: Dataset

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.

This record has no associated files available for download.

More information

Published date: 29 November 2018

Identifiers

Local EPrints ID: 472925
URI: http://eprints.soton.ac.uk/id/eprint/472925
PURE UUID: 230ebd29-cd79-4223-a956-7d52956cd4fb
ORCID for Gavin Foster: ORCID iD orcid.org/0000-0003-3688-9668
ORCID for Matthew Loxham: ORCID iD orcid.org/0000-0001-6459-538X
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072
ORCID for Philip Basford: ORCID iD orcid.org/0000-0001-6058-8270
ORCID for Natasha Easton: ORCID iD orcid.org/0000-0002-9168-3294

Catalogue record

Date deposited: 06 Jan 2023 12:41
Last modified: 11 Jul 2024 02:14

Export record

Altmetrics

Contributors

Contributor: Charlie Davenport
Contributor: Gavin Foster ORCID iD
Contributor: Matthew Loxham ORCID iD
Contributor: Andrew Morris
Contributor: Steven Johnston ORCID iD
Contributor: Simon Cox
Contributor: Florentin Bulot
Contributor: Philip Basford ORCID iD
Contributor: Mihaela Apetroaie-Cristea
Contributor: Natasha Easton ORCID iD

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.

×