Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber

Book chapter


Prior, Oliver J., Hannan Bin Azhar, M. A., Sahota, Vijay and Turner, Scott 2024. Unveiling pollution peaks: Comparing swarm intelligence with Drone Hill Climber. in: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) IEEE. pp. 399-404
AuthorsPrior, Oliver J., Hannan Bin Azhar, M. A., Sahota, Vijay and Turner, Scott
Abstract

Climate change has become an accelerating problem in recent years due to pollutants like greenhouse gases, with carbon dioxide being the most prominent. Similarly in time, works on the application and development of swarm intelligence using drones, along with the use of drones to monitor air pollution/ source discovery, have been carried out in isolation to date. This paper presents an investigation to discover multiple pollution sources using a variety of existing swarm intelligence algorithms, through simulated drones. This paper also presents a bespoke Drone Hill Climber (DHC) algorithm that introduces the novel of multiple drones each flying on their own set paths, with the aim of finding multiple pollution peaks at efficient speeds.

KeywordsSwarm intelligence; Drone; Air pollution monitoring; Climate change; Particle swarm optimisation; Firefly algorithm; Artificial bee colony; Simulations
Page range399-404
Year2024
Book title2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY)
PublisherIEEE
Output statusPublished
Publication dates
Print19 Sep 2024
Publication process dates
Deposited07 Oct 2024
Digital Object Identifier (DOI)https://doi.org/10.1109/sisy62279.2024.10737602
Official URLhttps://ieeexplore.ieee.org/document/10737602
FunderCanterbury Christ Church University
Additional information

Publications router.

Journal2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY)
EventSISY 2024
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10737504/proceeding
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