Implementation of Greedy Algorithm in Optimal Cellular Masts Hoisting Over Population Coverage

Tamaraebi Ambrose Enisuoh; Okardi Biobele

doi:10.52589/BJCNIT-O5PVTEGT

Implementation of Greedy Algorithm in Optimal Cellular Masts Hoisting Over Population Coverage

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British Journal of Computer, Networking and Information Technology

Vol. 4Issue 12021pp. 68–78Published 26 July 2021

DOI 10.52589/BJCNIT-O5PVTEGT

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Abstract:

The need to meet the demands of subscribers of wireless services is imperative to Global System for Mobile (GSM) Communication companies. These demands, which revolve around the maintenance of good network coverage and improved Quality of Service (QoS), depend largely on the nature of cellular network masts. Greedy Algorithm Model was implemented on network masts for small size populated areas to effectively have optimal network coverage. Object Oriented Analysis and Design Methodology (OOADM) and Java programming language was used for its implementation. The analysis of the results shows that Greedy Algorithm performed optimizing cellular network masts hoisting optimally for small populated areas.

Keywords:Greedy Algorithm Population coverage Optimal Mast and Voronoi Diagram

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