J Zhang, Y Liu, X Qin, X Xu - 2021 IEEE 32nd Annual …, 2021 - ieeexplore.ieee.org
The digital twin (DT) bridges the physical world with the digital world in real-time for the Industrial Internet of Things (IIoT) and federated learning (FL) enables edge intelligence …
Due to Industry 4.0, machines can be connected to their manufacturing processes with the ability to react faster and smarter to changing conditions in a factory. Previously, Internet of …
J Wu, G Zhang, J Nie, Y Peng… - … and Mobile Computing, 2021 - Wiley Online Library
The demand for improving productivity in manufacturing systems makes the industrial Internet of things (IIoT) an important research area spawned by the Internet of things (IoT). In …
W Li, F Zhou, W Meleis… - … conference on distributed …, 2016 - ieeexplore.ieee.org
Advances in wireless technology have resulted in pervasive deployment of devices of a high variability in form factors, memory and computational ability. The need for maintaining …
Due to the recent movements in Industry 4.0 and Internet of Things (IoT), accessing or generating data in the Smart Manufacturing (SM) domain has become more attainable; …
With the advent of 5G wireless networking, the Internet of Things (IoT) will be a network of sensors, actuators, and processing units for sensing, data sharing, and control. These are …
Abstract Distributed training of Machine Learning models in edge Internet of Things (IoT) environments is challenging because of three main points. First, resource-constrained …
W Li, H Zhang, S Gao, C Xue… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
The Multipath TCP (MPTCP) protocol has been standardized by the IETF as an extension of conventional TCP, which enables multi-homed devices to establish multiple paths for …
Large manufacturing sites with movable obstacles and dynamic network topology call for reliable and efficient strategies to transmit data through the industrial Internet of Things (IoT) …