Cooperative Multi-Agent Reinforcement Learning for Data Gathering in Energy-Harvesting Wireless Sensor Networks

Keyphrases

• Multi-agent Reinforcement Learning 100%
• Energy Harvesting Wireless Sensor Network (EH-WSN) 100%
• Multi-agent 40%
• Adaptation 20%
• Making Decisions 20%
• Energy Conservation 20%
• Resource Utilization 20%
• Limited Resources 20%
• Energy Dynamics 20%
• Learnability 20%
• Sensor Networks 20%
• Network Performance 20%
• Data Reporting 20%
• Unique Attributes 20%
• Response Change 20%
• Dynamic Environment 20%
• Non-stationarity 20%
• Decision Basis 20%
• Learning-based 20%
• Sensor Communication 20%
• Guaranteed Convergence 20%
• Exploration Method 20%
• Sensor Function 20%
• Resource-constrained 20%
• Sensor Integration 20%
• Limited Sensors 20%
• Global Energy 20%
• Sensor Failure 20%
• Q-learning 20%
• Q-learning Algorithm 20%
• Efficient Data Collection 20%
• Network Condition 20%
• New Sensors 20%
• Individual Agent 20%
• Communication Framework 20%
• Decentralized Autonomous 20%
• Independent Learning 20%
• Effective Resource 20%
• Data Transmission Strategy 20%
• Learning Protocols 20%
• Autonomous Communication 20%
• Dynamic Adaptability 20%
• Special Formulas 20%
• Foster Network 20%
• Perpetual Learning 20%
• Network Scenario 20%

Computer Science

• Wireless Sensor Network 100%
• Gathering Data 100%
• Multi-Agent Reinforcement Learning 100%
• multi agent 40%
• Learning Algorithm 20%
• Dynamic Environment 20%
• Network Performance 20%
• Network Condition 20%
• Resource Utilisation 20%
• Extended Version 20%
• Network Scenario 20%
• Independent Learning 20%
• Autonomous Communication 20%
• Delivery Report 20%
• Sensor Network 20%
• Decision Making 20%