TY  - EJOU
AU  - Abro, Ghulam E Mustafa 
AU  - Mugheri, Altaf 
AU  - Ali, Zain Anwar 

TI  - Collision-Free Satellite Constellations: A Comprehensive Review on Autonomous and Collaborative Algorithms
T2  - Revue Internationale de Géomatique

PY  - 2025
VL  - 34
IS  - 1
SN  - 2116-7060

AB  - Swarm intelligence, derived from the collective behaviour of biological entities, is a novel methodology for overseeing satellite constellations within decentralized control systems. Conventional centralized control systems in satellite constellations encounter constraints in scalability, resilience, and fault tolerance, particularly in extensive constellations. This research examines the use of swarm-based multi-agent systems and distributed algorithms for efficient communication, collision avoidance, and collaborative task execution in satellite constellations. We provide a comprehensive study of current swarm control algorithms, their relevance to satellite systems, and identify areas requiring further research. Principal subjects encompass decentralized decision-making, self-organization, adaptive communication protocols, and collision-free trajectory planning. The review article examines implementation obstacles, contrasts swarm algorithms with traditional approaches, and delineates potential research avenues to improve the autonomy and efficiency of satellite constellations. The detailed Literature and comparative analysis within this manuscript demonstrate the prospective advantages of swarm intelligence in satellite systems, providing insights for academic researchers and industry personnel alike.
KW  - Swarm intelligence; satellite constellations; decentralized control systems; multi-agent systems; distributed algorithms

DO  - 10.32604/rig.2025.065595