SAC: A Novel Multi-hop Routing Policy in Hybrid Distributed IoT System based on Multi-agent Reinforcement Learning.
Wen ZhangTao LiuMimi XieJeff Jun ZhangChen PanPublished in: ISQED (2021)
Keyphrases
- multi hop
- multi agent reinforcement learning
- mobile ad hoc networks
- ad hoc networks
- routing protocol
- routing algorithm
- wireless ad hoc networks
- multi agent
- node density
- wireless sensor networks
- distributed control
- end to end
- base station
- data transmission
- wireless networks
- peer to peer
- energy consumption
- energy efficient
- distributed systems
- network topology
- shortest path
- multi agent learning
- distributed environment
- cooperative
- reinforcement learning
- learning agents
- sensor networks
- energy efficiency
- wireless mesh networks
- multi agent systems
- cloud computing
- mobile agents
- multipath
- stochastic games
- autonomous agents
- routing problem
- quality of service
- computer networks
- communication networks