Jevon Westcarr
Devising a Responsible Framework for Air Quality Sensor Placement
Westcarr, Jevon; Gunturi, Venkata M V; Cabaneros, Sheen Mclean; Raja, Rameez; Thakker, Dhavalkumar; Porter, Amanda
Authors
Dr Venkata Maruti Viswanath Gunturi V.Gunturi@hull.ac.uk
Lecturer in Computer Science
Sheen Mclean Cabaneros
Dr Rameez Kureshi R.Kureshi@hull.ac.uk
Lecturer and Programme Director of online MSc - Artificial Intelligence
Professor Dhaval Thakker D.Thakker@hull.ac.uk
Professor of Artificial Intelligence(AI) and Internet of Things(IoT)
Amanda Porter
Abstract
A major challenge faced when developing smart, sustainable urban environments is the reduction of air pollutants that adversely impact citizens' health. The UK has implemented strategies such as clean air zones (CAZs) coupled with the use of sensor technologies to monitor the changes in these pollutant concentrations while simultaneously reducing them over time. Consequently, this poses important concerns: how much consideration has been given to the positioning of these sensors, and are the citizens the focal point of this decision-making process? In this paper, we seek to address these concerns by introducing a framework which responsibly positions air pollution sensors based on three conjoined tenets: 1) sensors should equitably cover areas of varying deprivations faced by citizens, 2) sensors should cover areas that have dense concentrations of specified parameters of interest which directly impact its citizens' health, behavioural practices and other factors, and 3) sensor coverage should be maximised across the expanse of the city. After laying the foundation of our algorithm, we then demonstrate that sensors can be positioned in a responsible manner that upholds the aforementioned objectives using geospatial data for the city of Hull, one of the most deprived areas of England.
Citation
Westcarr, J., Gunturi, V. M. V., Cabaneros, S. M., Raja, R., Thakker, D., & Porter, A. (2024, July). Devising a Responsible Framework for Air Quality Sensor Placement. Presented at 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, United Kingdom
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS) |
Start Date | Jul 29, 2024 |
End Date | Jul 31, 2024 |
Acceptance Date | May 31, 2024 |
Online Publication Date | Aug 15, 2024 |
Publication Date | Aug 15, 2024 |
Deposit Date | Jul 4, 2024 |
Publicly Available Date | Jan 14, 2025 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Pages | 1-6 |
Series Title | IEEE International Conference on Omni-layer Intelligent Systems (COINS) |
ISBN | 9798350349603 |
DOI | https://doi.org/10.1109/COINS61597.2024.10622133 |
Keywords | sensor; smart city; air quality; urban observatory; fairness; geospatial; clean air zone; monitoring |
Public URL | https://hull-repository.worktribe.com/output/4732199 |
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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