Dynamic dual-reinforcement-learning routing strategies for quality of experience-aware wireless mesh networking

Keyphrases

• Wireless Mesh Networks 100%
• Quality of Experience 100%
• Reinforcement Learning 100%
• Routing Strategy 100%
• User Feeling 100%
• Dual Reinforcement 100%
• Latency 50%
• Real-time Networks 50%
• Management Approach 50%
• Network Capacity 50%
• Audio-Video 50%
• Reinforcement Learning Algorithm 50%
• Rate Adaptation 50%
• Audio Data 50%
• Resource Management 50%
• Service Type 50%
• Transmission Impairments 50%
• User-perceived Quality 50%
• Packet Drop 50%
• Service Flow 50%
• Sending Rate 50%
• Dynamically Adjust 50%
• Adaptive Mechanism 50%
• Source Rate 50%
• Multi-service 50%
• Mesh Node 50%
• Novel Sources 50%
• Dropping Strategies 50%
• Forwarding Node 50%
• Quality of Experience Management 50%
• Multiple Service Types 50%

Computer Science

• Quality-of-Experience 100%
• Reinforcement Learning 100%
• Routing Strategy 100%
• Mesh Networking 100%
• Wireless Mesh Network 50%
• Network Capacity 50%
• Rate Adaptation 50%
• Perceived Quality 50%
• Multiple Service 50%
• Ad Hoc On-Demand Distance Vector 50%
• Dropping Packet 50%
• Adaptation Mechanism 50%
• Forwarding Node 50%