Toward edge-based deep learning in industrial Internet of Things

F Liang, W Yu, X Liu, D Griffith… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …

Computational intelligence and deep learning for next-generation edge-enabled industrial IoT

S Tang, L Chen, K He, J Xia, L Fan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

Edge-cloud computing for Internet of Things data analytics: Embedding intelligence in the edge with deep learning

AM Ghosh, K Grolinger - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Rapid growth in numbers of connected devices including sensors, mobile, wearable, and
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …

An optimized IoT-enabled big data analytics architecture for edge–cloud computing

M Babar, MA Jan, X He, MU Tariq… - IEEE internet of …, 2022 - ieeexplore.ieee.org
The awareness of edge computing is attaining eminence and is largely acknowledged with
the rise of the Internet of Things (IoT). Edge-enabled solutions offer efficient computing and …

A survey on deep learning empowered IoT applications

X Ma, T Yao, M Hu, Y Dong, W Liu, F Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …

A survey on the edge computing for the Internet of Things

W Yu, F Liang, X He, WG Hatcher, C Lu, J Lin… - IEEE …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) now permeates our daily lives, providing important measurement
and collection tools to inform our every decision. Millions of sensors and devices are …

Learning IoT in edge: Deep learning for the Internet of Things with edge computing

H Li, K Ota, M Dong - IEEE network, 2018 - ieeexplore.ieee.org
Deep learning is a promising approach for extracting accurate information from raw sensor
data from IoT devices deployed in complex environments. Because of its multilayer structure …

Serious challenges and potential solutions for the industrial internet of things with edge intelligence

Y Zhang, H Huang, LX Yang, Y Xiang, M Li - IEEE Network, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) can improve manufacturing efficiency, enhance
product quality, and reduce cost and pollution in industrial production, realizing intelligent …

Ultra-low latency cloud-fog computing for industrial Internet of Things

C Shi, Z Ren, K Yang, C Chen, H Zhang… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Recently, the industrial Internet of Things (IIoT) has drawn high attention in academia and
industry in the context of industry 4.0. In the IIoT, smart IoT devices are adopted to improve …

Deep learning for edge computing applications: A state-of-the-art survey

F Wang, M Zhang, X Wang, X Ma, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …