MeFi: Mean Field Reinforcement Learning for Cooperative Routing in Wireless Sensor Network.
Jing RenJiangong ZhengXiaotong GuoTongyu SongXiong WangSheng WangWei ZhangPublished in: IEEE Internet Things J. (2024)
Keyphrases
- wireless sensor networks
- cooperative
- reinforcement learning
- routing algorithm
- routing protocol
- routing scheme
- data aggregation
- multi agent
- energy aware
- multi agent reinforcement learning
- biological inspired
- energy consumption
- sensor networks
- sensor nodes
- function approximation
- ad hoc networks
- energy efficient
- markov random field
- transmission range
- residual energy
- multi agent systems
- belief networks
- learning algorithm
- routing problem
- data transmission
- markov decision processes
- em algorithm
- network topology
- base station
- maximum lifetime
- statistical mechanics
- reinforcement learning algorithms
- multi hop
- energy efficiency
- multiagent reinforcement learning
- temporal difference
- optimal policy
- shortest path
- wireless ad hoc networks
- model free
- state space
- wireless communication
- continuous time bayesian networks
- linear complexity
- action selection
- closed form
- mac protocol
- intermediate nodes
- higher order
- quality of service
- probabilistic model
- machine learning
- game theory