Deep Reinforcement Learning for Attacking Wireless Sensor Networks.
Juan ParrasMaximilian HüttenrauchSantiago ZazoGerhard NeumannPublished in: Sensors (2021)
Keyphrases
- wireless sensor networks
- reinforcement learning
- sensor networks
- energy consumption
- energy efficient
- function approximation
- learning algorithm
- environmental monitoring
- base station
- reinforcement learning algorithms
- temporal difference
- energy efficiency
- state space
- sensor nodes
- topology control
- data aggregation
- robotic control
- multi agent
- data gathering
- routing algorithm
- markov decision processes
- optimal policy
- data transmission
- dynamic programming
- model free
- multi hop
- temporal difference learning
- biological inspired
- wireless communication
- learning problems
- transfer learning
- learning process
- machine learning
- resource constrained
- key management
- deep learning
- action space
- evaluation function
- reinforcement learning methods
- energy aware
- node selection
- neural network