Multi-Agent Deep Reinforcement Learning for Packet Routing in Tactical Mobile Sensor Networks.
Andrews A. OkineNadir H. AdamFaisal NaeemGeorges KaddoumPublished in: IEEE Trans. Netw. Serv. Manag. (2024)
Keyphrases
- reinforcement learning
- multi agent
- mobile sensor networks
- sensor networks
- sensor nodes
- node density
- packet transmission
- switched networks
- ip traffic
- packet switching
- network layer
- routing protocol
- packet forwarding
- wireless sensor networks
- intermediate nodes
- transmission delay
- state space
- energy consumption
- ip networks
- routing algorithm
- ad hoc networks
- function approximation
- data transmission
- reinforcement learning algorithms
- learning algorithm
- model free
- cooperative
- packet loss
- learning agents
- network topology
- multi agent systems
- packet delivery
- sensor data
- multi agent environments
- routing table
- multi hop
- dynamic programming
- traffic signal control
- destination node
- multiagent systems
- optimal policy
- data streams
- machine learning
- multiple agents
- data collection
- reinforcement learning agents
- wireless ad hoc networks
- single agent
- routing problem
- network design
- inter domain
- internet traffic
- end to end delay
- partially observable markov decision processes
- mobile nodes