Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points.
Boris GalkinBabatunji OmoniwaIvana DusparicPublished in: CoRR (2021)
Keyphrases
- energy efficiency
- reinforcement learning
- multi agent
- access points
- energy consumption
- power consumption
- wireless sensor networks
- data center
- sensor networks
- energy efficient
- wireless networks
- routing protocol
- response time
- smart home
- power management
- energy saving
- mobile nodes
- mobile users
- wifi
- mobile devices
- wireless sensor
- machine learning
- wireless communication
- learning algorithm
- sensor nodes
- intelligent agents
- cloud computing
- end to end
- residual energy
- multi agent systems
- multi hop
- data transmission
- intelligent systems
- low cost
- expert systems
- transfer learning
- routing algorithm
- metadata
- ad hoc networks
- databases
- network traffic