Deep-learning-based physical layer authentication for industrial wireless sensor networks

RF Liao, H Wen, J Wu, F Pan, A Xu, Y Jiang, F Xie… - sensors, 2019 - mdpi.com
In this paper, a deep learning (DL)-based physical (PHY) layer authentication framework is
proposed to enhance the security of industrial wireless sensor networks (IWSNs). Three …

Enabling grant-free URLLC: An overview of principle and enhancements by massive MIMO

J Ding, M Nemati, SR Pokhrel, OS Park… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Enabling ultrareliable low-latency communication (URLLC) with stringent requirements for
transmitting data packets (eg, 99.999% reliability and 1-ms latency) presents considerable …

IEEE 802.1 AS clock synchronization performance evaluation of an integrated wired–wireless TSN architecture

I Val, O Seijo, R Torrego… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Industrial control systems present numerous challenges from the communication systems
perspective: clock synchronization, deterministic behavior, low latency, high reliability …

Wireless high-performance communications: The challenges and opportunities of a new target

Z Pang, M Luvisotto, D Dzung - IEEE Industrial Electronics …, 2017 - ieeexplore.ieee.org
Wireless networks for industrial control have long been considered a good technical solution
for companies because of reduced costs and improved long-term reliability. However, critical …

Reviewing cyber-physical system as a part of smart factory in industry 4.0

D Sinha, R Roy - IEEE Engineering Management Review, 2020 - ieeexplore.ieee.org
Due to the successful application of the Internet of Things (IoT) and the Internet of Services
(IoS) in association with other emerging technologies, the fourth industrial revolution is …

w-SHARP: Implementation of a high-performance wireless time-sensitive network for low latency and ultra-low cycle time industrial applications

Ó Seijo, JA López-Fernández… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Real-time Industrial applications in the scope of Industry 4.0. present significant challenges
from the communication perspective: low latency, ultra-reliability, and determinism. Given …

Age-of-information aware scheduling for edge-assisted industrial wireless networks

M Li, C Chen, H Wu, X Guan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial wireless networks (IWNs) have attracted significant attention for providing time-
critical delivery services, which can benefit from device-to-device (D2D) communication for …

Toward real-time control in future wireless networks: Communication-control co-design

G Zhao, MA Imran, Z Pang, Z Chen… - IEEE Communications …, 2018 - ieeexplore.ieee.org
Wireless networks are undergoing a transition from connecting people to connecting things,
which will allow human interaction with the physical world in a real-time fashion, for …

Physical-layer security for industrial wireless control systems: Basics and future directions

F Pan, Z Pang, M Luvisotto, M Xiao… - IEEE Industrial …, 2018 - ieeexplore.ieee.org
Wireless networks for industrial control systems are promising because of their reduced cost,
flexible structure, and improved long-term reliability. However, wireless control systems are …

Cloud-fog automation: vision, enabling technologies, and future research directions

J Jin, K Yu, J Kua, N Zhang, Z Pang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The Industry 4.0 digital transformation envisages future industrial systems to be fully
automated, including the control, upgrade, and configuration processes of a large number of …