Energy Consumption Algorithm for Unmanned Aerial Vehicle Communication Network in Marine Environment Monitoring based on Improved Deep Reinforcement Learning

Key Points

• The central aim is to develop an optimized energy consumption algorithm for UAV communication networks in marine environments.
• Utilized an improved deep reinforcement learning approach.
• Focused on energy efficiency in communication networks for UAVs.
• Tested the algorithm in simulated marine environment scenarios.
• The algorithm shows significant improvements in energy efficiency.
• Enhanced communication reliability between UAVs and monitoring stations.
• Reduced operational costs during marine environmental monitoring.