4G Base Station Placement using the Foraging Bees Optimization Algorithm

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dc.contributor.authorEbun F.
dc.contributor.authorIdris D
dc.contributor.authorChukwuekwu O
dc.contributor.authorBabatunde S
dc.contributor.authorChika Ojiako
dc.date.accessioned2024-11-04T10:28:00Z
dc.date.available2024-11-04T10:28:00Z
dc.date.issued2023-10-28
dc.description.abstractThis comprehensive paper delves into the intricate challenge of enhancing wireless coverage in university campuses, with a particular focus on the dynamic environment of the University of Lagos in Nigeria. The primary aim is to provide pervasive wireless connectivity while ensuring energy-efficient operations. To accomplish this, we employ a Foraging Bee Optimization Algorithm (FBA) for strategically placing base stations. Using a fitness function that considers both wireless coverage and energy consumption, FBA identifies optimal base station locations. The results indicate substantial improvements in coverage, with 95% of the campus now within the network's reach compared to 87% using the Particle Swarm Optimizer (PSO). Nevertheless, the presence of uncovered areas and a power consumption penalty underscores the continuous need for further optimization and the integration of sustainable practices. Given the ever-evolving nature of wireless network optimization, this study underscores the significance of iterative approaches in maintaining optimal coverage and balancing energy efficiency.
dc.identifier.citationDurowoju I. W., Okonta C., Ojiako C. P., Fasina E. P. & Sawyerr B. A. (2023). “4G Base Station Placement using the Foraging Bees Optimization Algorithm". In Proceedings of the International Conference on Artificial Intelligence and Robotics (MIRG-ICAIR 2023), pp. 1-11, MIRG
dc.identifier.isbn978-978-767-697-4
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/13017
dc.language.isoen
dc.publisherMIRG
dc.relation.ispartofseriesMIRG-ICIAR 2023
dc.title4G Base Station Placement using the Foraging Bees Optimization Algorithm
dc.typeArticle
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