Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems

M Alali, A Kazeminajafabadi, M Imani - Systems Science & Control …, 2024 - Taylor & Francis
Advances in technology have enabled the use of sensors with varied modalities to monitor
different parts of systems, each providing diverse levels of information about the underlying …

Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach

L Yang, J Tao, YH Liu, Y Xu, CY Su - Neural Networks, 2023 - Elsevier
This paper studies the energy scheduling for Denial-of-Service (DoS) attack against remote
state estimation over multi-hop networks. A smart sensor observes a dynamic system, and …

Sensor Transmission Scheduling Over a Time-Varying Channel

XH Liu, GH Yang - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
This article studies the sensor transmission scheduling problem under energy constraints,
where the time-varying channel from the sensor to the remote state estimator is considered …

Subsystem-importance-aware DoS attacks and countermeasures

H Liu, Y Ni, D Lyu, X Ren, X Wang - Automatica, 2024 - Elsevier
This paper is concerned with the security issue of remote state estimation in multi-systems.
Note that different subsystems or local state information possess varying levels of …

Innovation-Based Remote State Estimation Secrecy with no Acknowledgments

JM Kennedy, JJ Ford, DE Quevedo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Secrecy encoding for remote state estimation in the presence of adversarial eavesdroppers
is a well studied problem. Typical existing secrecy encoding schemes rely on the …

Multi-sensor Power Allocation for Remote Estimation Over Semi-Markov Fading Channels

M Mei, D Ye, J Wei - IEEE Transactions on Control of Network …, 2023 - ieeexplore.ieee.org
This paper investigates the multi-sensor power allocation (MSPA) problem for remote state
estimation in cyber-physical systems (CPSs). Multiple sensors observe different linear time …

Stochastic dynamic programming solution to transmission scheduling: Multi sensor-multi process with wireless noisy channel

A Forootani, S Forootani, R Iervolino… - Computers and Electrical …, 2023 - Elsevier
We investigate sensor scheduling for remote estimation when multiple smart sensors
monitor multiple stochastic dynamical systems. The sensors transmit their measurements to …

Importance-Based DoS Attacks in Cyber-Physical Systems

J Wang, J Zou, R Song, H Liu - 2023 China Automation …, 2023 - ieeexplore.ieee.org
This work considers the security issue of the remote state estimation in a multi-process
Cyber-physical system (CPS). Different from the existing works, we propose a novel Denial …