Geometric Swarm Flocking with OWC Constraints

This paper presents a decentralized leader election algorithm for unmanned aerial vehicle (UAV) swarms operating under Optical Wireless Communication (OWC) constraints. To enable interference-free, RF-independent coordination, the method unifies swarm initialization and navigation planning. Each UAV relies solely on local sensing and directional laserdiode communication without centralized control. Leadership is determined from a multi-criteria score combining compactness, neighborhood size, target proximity, and angular dispersion, followed by distributed conflict resolution and follower assignment. Large-scale simulations, up to 5000 UAVs, demonstrate full coverage, stable leader-follower structures, and high leadership quality with low communication overhead, confirming the scalability and robustness of the approach.

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Publication Details

Published
2025-11-05
DOI
https://doi.org/10.1109/nca67271.2025.00038
Primary Topic
UAV Applications and Optimization
Type
article
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article

Geometric Swarm Flocking with OWC Constraints

Binh-Minh Bui-Xuan, Kerrian Aziza, Massinissa Tighilt
UAV Applications and Optimization
article

Geometric Swarm Flocking with OWC Constraints

Binh-Minh Bui-Xuan, Kerrian Aziza, Massinissa Tighilt
article en

Abstract

This paper presents a decentralized leader election algorithm for unmanned aerial vehicle (UAV) swarms operating under Optical Wireless Communication (OWC) constraints. To enable interference-free, RF-independent coordination, the method unifies swarm initialization and navigation planning. Each UAV relies solely on local sensing and directional laserdiode communication without centralized control. Leadership is determined from a multi-criteria score combining compactness, neighborhood size, target proximity, and angular dispersion, followed by distributed conflict resolution and follower assignment. Large-scale simulations, up to 5000 UAVs, demonstrate full coverage, stable leader-follower structures, and high leadership quality with low communication overhead, confirming the scalability and robustness of the approach.

Centre National de la Recherche Scientifique (FR), Sorbonne Université (FR), Sorbonne Paris Cité (FR), Université Paris 1 Panthéon-Sorbonne (FR)
Openalex Percentile: Top 52%
UAV Applications and Optimization
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Geometric Swarm Flocking with OWC Constraints — Binh-Minh Bui-Xuan, Kerrian Aziza, et al. · (2025) | TGRS Research Map | TGRS