Basu, Aniket ORCID: https://orcid.org/0009-0003-6950-9358, Oroojeni, Hooman ORCID: https://orcid.org/0000-0002-9653-8563, Samakovitis, Georgios ORCID: https://orcid.org/0000-0002-0076-8082 and Al-Rifaie, Mohammad Majid ORCID: https://orcid.org/0000-0002-1798-9615 (2024) Three-dimensional drone cell placement: drone placement for optimal coverage. Future Internet, 16 (11):401. ISSN 1999-5903 (Online) (doi:10.3390/fi16110401)

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Abstract

Using drone cells to optimize Radio Access Networks is an exemplary way to enhance the capabilities of terrestrial Radio Access Networks. Drones fitted with communication and relay modules can act as drone cells to provide an unobtrusive network connection. The multi-drone-cell placement problem is solved using adapted Dispersive Flies Optimization alongside other meta-heuristic algorithms such as Particle Swarm Optimization and differential evolution. A home-brewed simulator has been used to test the effectiveness of the different implemented algorithms. Specific environment respective parameter tuning has been explored to better highlight the possible advantages of one algorithm over the other in any particular environment. Algorithmic diversity has been explored, leading to several modifications and improvements in the implemented models. The results show that by using tuned parameters, there is a performance uplift in coverage probability when compared to the default meta-heuristic parameters while still

Item Type:	Article
Additional Information:	This article belongs to the Section Internet of Things.
Uncontrolled Keywords:	drone-assisted radio access network; drone cell placement; hyper-heuristic; parameter tuning, dispersive flies optimization, particle swarm optimization, differential evolution
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	14 Nov 2024 15:43
URI:	http://gala.gre.ac.uk/id/eprint/48624

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