Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks.
Mihail MihaylovYann-Aël Le BorgneKarl TuylsAnn NowéPublished in: ICAART (Revised Selected Papers) (2011)
Keyphrases
- wireless sensor networks
- reinforcement learning
- energy efficient
- scheduling problem
- sensor networks
- energy consumption
- neural network
- round robin
- scheduling algorithm
- environmental monitoring
- function approximation
- reinforcement learning algorithms
- resource constrained
- routing algorithm
- sensor nodes
- base station
- data transmission
- robotic control
- model free
- multi agent
- data aggregation
- data gathering
- resource allocation
- energy aware
- state space
- topology control
- policy search
- optimal policy
- machine learning
- multi hop
- temporal difference
- parallel machines
- energy efficiency
- optimal control
- markov decision processes
- routing protocol
- reward function
- resource constraints
- parallel processors
- transfer learning
- lower bound
- information systems
- learning algorithm
- biological inspired
- body sensor networks