SDRP-DQL: A satellite distributed routing protocol based on double deep Q-learning

Key Points

• The proposed routing protocol enhances performance in satellite networks through advanced optimization techniques.
• Key evidence shows a significant improvement in routing efficiency, with up to 30% reduction in latency compared to traditional methods.
• Analysis employs a double deep Q-learning framework to optimize routing decisions in distributed systems.
• Potential implications highlight the need for efficient communication strategies in next-generation satellite networks.