Energy-Efficient mmWave UDN Using Distributed Multi-Agent Deep Reinforcement Learning.
Jihoon MoonHyungyu JuSeungnyun KimByonghyo ShimPublished in: ICC Workshops (2021)
Keyphrases
- energy efficient
- multi agent
- reinforcement learning
- wireless sensor networks
- energy consumption
- sensor networks
- cooperative
- data dissemination
- base station
- multi agent systems
- data aggregation
- data gathering
- routing protocol
- distributed systems
- multi hop
- low overhead
- energy efficiency
- multi core architecture
- intelligent agents
- sensor nodes
- data transmission
- communication cost
- ambient intelligence
- cluster head
- low cost
- management system
- data streams
- machine learning
- data sets