Hierarchical Multi-Agent Deep Reinforcement Learning for Energy-Efficient Hybrid Computation Offloading.
Hang ZhouYusi LongShimin GongKun ZhuDinh Thai HoangDusit NiyatoPublished in: IEEE Trans. Veh. Technol. (2023)
Keyphrases
- energy efficient
- reinforcement learning
- multi agent
- wireless sensor networks
- energy consumption
- sensor networks
- base station
- energy efficiency
- data dissemination
- multi core architecture
- multi agent systems
- cooperative
- multi hop
- data gathering
- data transmission
- routing protocol
- power consumption
- machine learning
- intelligent agents
- routing algorithm
- wireless communication
- low overhead
- social networks