Placement optimization of multiple UAVs for energy-efficient maximal user coverage

This paper proposes a deterministic Global Optimization Algorithm (GOA) for UAV-assisted communications, developed as an enhancement to the benchmark Two-Stage Optimization Algorithm (TSOA). The algorithm simultaneously addresses the dual objectives of maximizing ground user (GU) coverage and minimi...

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Veröffentlicht in:ICT express
Hauptverfasser: Zhang, Chen, Gui, Xiang, Gupta, Gourab Sen, Hasan, Syed Faraz
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.10.2025
Schlagworte:
Coverage
Deterministic algorithm
GOA
Heuristic approaches
Power consumption
TSOA
Unmanned aerial vehicles assisted communication
Power consumption
TSOA
GOA
Heuristic approaches
Coverage
Deterministic algorithm
Unmanned aerial vehicles assisted communication
ISSN:2405-9595, 2405-9595
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Beschreibung
Zusammenfassung:This paper proposes a deterministic Global Optimization Algorithm (GOA) for UAV-assisted communications, developed as an enhancement to the benchmark Two-Stage Optimization Algorithm (TSOA). The algorithm simultaneously addresses the dual objectives of maximizing ground user (GU) coverage and minimizing total power consumption in multiple UAV systems. Unlike existing literature, which predominantly relies on heuristic approaches, GOA provides a more precise and systematic solution to achieve optimal performance. Comprehensive simulations demonstrate that GOA achieves a 3.68 % increase in coverage count versus SOA under clustered GU distributions while delivering energy savings approximately 2.47 % (uniform) and 2.6 % (clustered) relative to the TSOA benchmark. Crucially, these efficiency gains are realized while maintaining superior GU coverage maximization versus all benchmarked methods. Both numerical results and visual analyses conclusively validate the proposed algorithm's outperformance of existing benchmarks. ©2025 The Korean Institute of Communications and Information Sciences. Publishing Services by Elsevier B.V. This is an open access article under the CC BY-NCND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
ISSN:2405-9595
2405-9595
DOI:10.1016/j.icte.2025.10.003