Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points.
Boris GalkinBabatunji OmoniwaIvana DusparicPublished in: ICC (2022)
Keyphrases
- energy efficiency
- reinforcement learning
- multi agent
- access points
- energy consumption
- power consumption
- wireless sensor networks
- sensor networks
- routing protocol
- data center
- energy efficient
- wireless networks
- mobile nodes
- smart home
- multi agent systems
- power management
- wifi
- learning algorithm
- sensor nodes
- mobile devices
- response time
- mobile users
- machine learning
- energy saving
- intelligent agents
- base station
- cluster head
- data collection
- end to end
- multi hop
- artificial neural networks
- database systems
- wireless sensor
- network topology
- residual energy