An intelligent Q-learning-based tree routing method in underwater acoustic sensor networks

Computer Science

• Construction Process 50%
• Data Integrity 25%
• Energy Consumption 25%
• Energy Efficient 25%
• Learning Algorithm 50%
• Neighboring Node 25%
• Network Simulator 25%
• Network Topology 50%
• packet delivery 25%
• Reinforcement Learning 25%
• Remaining Node 25%
• Routing Protocol 100%
• Sensor Network 100%
• Sensor Node 75%

Engineering

• Construction Process 33%
• Delivery Rate 16%
• Learning Algorithm 33%
• Network Topology 33%
• Nodes 100%
• Propagation Speed 16%
• Q-Learning 100%
• Reinforcement Learning 16%
• Sensor Network 100%
• Sensor Node 50%
• Successful Transmission 16%