Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach.
Lixin YangHongxia RaoMing LinYong XuPeng ShiPublished in: Inf. Sci. (2022)
Keyphrases
- state estimation
- limited bandwidth
- reinforcement learning
- kalman filter
- kalman filtering
- particle filter
- real time
- dynamic programming
- visual tracking
- dynamic systems
- ad hoc networks
- particle filtering
- sensor data
- optimal solution
- multi agent
- object tracking
- sensor networks
- multi sensor
- state space
- mobile robot
- cellular networks
- image transmission
- data delivery
- learning algorithm