A survey on network security for cyber–physical systems: From threats to resilient design

S Kim, KJ Park, C Lu - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
Cyber-physical systems (CPS) are considered the integration of physical systems in the real
world and control software in computing systems. In CPS, the real world and the computing …

A comprehensive review on time sensitive networks with a special focus on its applicability to industrial smart and distributed measurement systems

T Fedullo, A Morato, F Tramarin, L Rovati, S Vitturi - Sensors, 2022 - mdpi.com
The groundbreaking transformations triggered by the Industry 4.0 paradigm have
dramatically reshaped the requirements for control and communication systems within the …

Integrated scheduling of sensing, communication, and control for mmWave/THz communications in cellular connected UAV networks

B Chang, W Tang, X Yan, X Tong… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
By providing ultra-high transmission data rate, millimeter wave (mmWave) and terahertz
(THz) communications are promising to enable backhaul data transmission in cellular …

Wireless communications for smart manufacturing and industrial IoT: Existing technologies, 5G and beyond

M Noor-A-Rahim, J John, F Firyaguna, HHR Sherazi… - Sensors, 2022 - mdpi.com
Smart manufacturing is a vision and major driver for change in today's industry. The goal of
smart manufacturing is to optimize manufacturing processes through constantly monitoring …

Communication–control co-design in wireless networks: A cloud control AGV example

Y Qiao, Y Fu, M Yuan - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the development of 5G and ultrareliable and low-latency communication (URLLC),
wireless network for automation processes has important applications in the envisioned …

A digital twin architecture for wireless networked adaptive active noise control

C Shi, F Du, Q Wu - IEEE/ACM Transactions on Audio, Speech …, 2022 - ieeexplore.ieee.org
The active noise control (ANC) is a complementary technique to the passive noise control
(PNC) to reduce the low frequency noise. The ANC controller can be implemented by pre …

Deep transfer learning-based fault diagnosis using wavelet transform for limited data

J Bang, P Di Marco, H Shin, P Park - Applied Sciences, 2022 - mdpi.com
Although various deep learning techniques have been proposed to diagnose industrial
faults, it is still challenging to obtain sufficient training samples to build the fault diagnosis …

Optimal dynamic transmission scheduling for wireless networked control systems

Y Ma, J Guo, Y Wang, A Chakrabarty… - … on Control Systems …, 2022 - ieeexplore.ieee.org
Wireless networked control systems (WNCSs) have the potential to revolutionize industrial
automation in smart factories. Optimizing closed-loop performance while maintaining …

[HTML][HTML] Leader election of dynamic wireless intelligent control machine in sensor network distributed processing

E Sediyono, FW Wibowo, HD Purnomo - Journal of King Saud University …, 2022 - Elsevier
Strategies to streamline energy resources in wireless sensor networks (WSN) are still a hot
topic. Many researchers have proposed various models of the WSN protocol so that the …

DRL-based resource allocation in remote state estimation

G Pang, W Liu, Y Li, B Vucetic - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Remote state estimation where sensors send their measurements of distributed dynamic
plants to a remote estimator over shared wireless resources is essential for mission-critical …