V2V Routing in VANET Based on Fuzzy Logic and Reinforcement Learning.
Wanli ZhangXiaoying YangQixiang SongLiang ZhaoPublished in: Int. J. Comput. Commun. Control (2020)
Keyphrases
- fuzzy logic
- reinforcement learning
- vehicular ad hoc networks
- routing protocol
- neural network
- soft computing
- fuzzy sets
- state space
- markov decision processes
- computational intelligence
- control system
- expert systems
- membership functions
- decision making
- routing algorithm
- function approximation
- intelligent control
- fuzzy set theory
- fuzzy control
- optimal policy
- model free
- genetic algorithm
- rough sets
- routing problem
- machine learning
- wireless ad hoc networks
- fuzzy logic controller
- reinforcement learning algorithms
- fuzzy logic control
- neural networks and genetic algorithms
- evolutionary computation
- artificial intelligence
- learning algorithm
- network topology
- mobile ad hoc networks
- real time
- robotic control
- temporal difference
- fuzzy rules
- shortest path
- multi agent
- transfer learning
- fuzzy inference
- dynamic programming
- network topologies
- inter domain
- evolutionary algorithm
- learning process
- artificial neural networks