COMPARATIVE STUDY OF META-HEURISTIC ALGORITHMS IN THE UAV-BS POSITIONING SOLUTION

Abstract

Unmanned Aerial Vehicles as Base Stations (UAV- BS) are capable of reestablishing user connectivity in natural disaster scenarios. Optimizing the positioning of UAV-BS presents significant challenges, including identifying the most suitable metaheuristic for implementation. This study proposes the eval- uation of five metaheuristic algorithms (ABC, ACO, GA, PSO, and TLBO) to optimize UAV-BS positioning considering user coverage, signal quality, and computational cost. Comparative models were used to evaluate the performance of the algorithms, indicating superior advantages of TLBO and PSO.

DOI: https://doi.org/10.56238/edimpacto2025.034-009