DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs

Keyphrases

• Vehicular Edge Computing 100%
• Task Offloading 100%
• Deep Reinforcement Learning (Deep RL) 100%
• Offloading Mechanism 50%
• Radio Access Technology 50%
• Efficacy Factor 25%
• Reinforcement Learning Agent 25%
• Cellular Radio 25%
• Delay Minimization 25%
• Reward Function 25%
• Latency Constraint 25%
• Automotive Applications 25%
• Partial Offloading 25%
• Load-aware 25%
• On-board Unit 25%
• Task Success 25%
• Task Processing 25%
• Binary Offloading 25%
• Collaborative Offloading 25%
• Beyond Fifth-generation 25%
• Multi-access Edge Computing 25%

Computer Science

• Edge Computing 100%
• Industry 5.0 100%
• Deep Reinforcement Learning 100%
• Task Offloading 100%
• Access Technology 50%
• Key Performance Indicator 25%
• Learning Agent 25%
• Multi-Access Edge Computing 25%
• Dynamic Environment 25%
• Task Success Rate 25%
• Relative Efficacy 25%
• Delay Minimization 25%
• Decision-Making 25%
• Processing Time 25%
• Automotive Application 25%

Engineering

• Tasks 100%
• Automotives 100%
• Edge Computing 100%
• Reinforcement Learning 100%
• Radio Access Technology 40%
• Decision Time 20%
• Automotive Application 20%
• Cooperative 20%
• Key Performance Indicator 20%
• Processing Time 20%
• Success Rate 20%