Adaptive scheduling for multimedia and text traffic in ocean networks through queuing theory integrated reinforcement learning

Key Points

• Adaptive scheduling significantly improves traffic management for multimedia and text data—which is crucial for ocean networks.
• Key findings show a reduction in latency by 30% during peak traffic periods, enhancing real-time communication efficiency.
• Analysis uses queuing theory combined with reinforcement learning to optimize traffic flow in oceanic communication systems.
• This approach may enable better resource allocation and communication stability in challenging ocean environments.