A better-performing Q-learning game-theoretic distributed routing for underwater wireless sensor networks.
Sungwook KimPublished in: Int. J. Distributed Sens. Networks (2018)
Keyphrases
- game theoretic
- wireless sensor networks
- game theory
- routing algorithm
- cooperative
- multi agent
- biological inspired
- routing protocol
- sensor networks
- data aggregation
- load distribution
- decision problems
- nash equilibrium
- reinforcement learning
- multiagent learning
- imperfect information
- energy consumption
- ad hoc networks
- energy efficiency
- agent programming
- solution concepts
- regret minimization
- rational agents
- pure nash equilibrium
- combinatorial auctions
- multi hop
- energy efficient
- sensor nodes
- optimal policy
- state space
- dynamic programming
- learning algorithm
- nash equilibria
- peer to peer
- search algorithm
- machine learning