A queue-aware multi-agent DRL routing framework for LEO satellites that cuts signaling overhead to roughly half of Dijkstra while handling dynamic queues and link resilience.
Optimized multi-path routing for IoT connectivity in LEO satellite networks: A load-balanced approach
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Queue-Aware and Resilient Routing in LEO Satellite Networks Using Multi-Agent Reinforcement Learning
A queue-aware multi-agent DRL routing framework for LEO satellites that cuts signaling overhead to roughly half of Dijkstra while handling dynamic queues and link resilience.