Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Networking and communications in autonomous driving: A survey

J Wang, J Liu, N Kato - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …

A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art

QV Pham, F Fang, VN Ha, MJ Piran, M Le, LB Le… - IEEE …, 2020 - ieeexplore.ieee.org
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …

A survey on industrial Internet of Things: A cyber-physical systems perspective

H Xu, W Yu, D Griffith, N Golmie - Ieee access, 2018 - ieeexplore.ieee.org
The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the
integration of massively deployed smart computing and network technologies in industrial …

Distributed deep learning model for intelligent video surveillance systems with edge computing

J Chen, K Li, Q Deng, K Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a Distributed Intelligent Video Surveillance (DIVS) system using
Deep Learning (DL) algorithms and deploy it in an edge computing environment. We …

Multi-hop cooperative computation offloading for industrial IoT–edge–cloud computing environments

Z Hong, W Chen, H Huang, S Guo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The concept of the industrial Internet of things (IIoT) is being widely applied to service
provisioning in many domains, including smart healthcare, intelligent transportation …

Dynamic digital twin and federated learning with incentives for air-ground networks

W Sun, N Xu, L Wang, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The air-ground network provides users with seamless connections and real-time services,
while its resource constraint triggers a paradigm shift from machine learning to federated …

TCDA: Truthful combinatorial double auctions for mobile edge computing in industrial Internet of Things

L Ma, X Wang, X Wang, L Wang, Y Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) emerges as an appealing paradigm to provide time-sensitive
computing services for industrial Internet of Things (IIoT) applications. How to guarantee …

Application of industry 4.0 in the procurement processes of supply chains: a systematic literature review

N Jahani, A Sepehri, HR Vandchali, EB Tirkolaee - Sustainability, 2021 - mdpi.com
The fourth industrial revolution has significantly changed the traditional way of managing
supply chains. The applications of Industry 4.0 (I4. 0) technologies such as the Internet of …

Joint resource allocation and incentive design for blockchain-based mobile edge computing

W Sun, J Liu, Y Yue, P Wang - IEEE transactions on wireless …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC), as a promising technology, provides proximate and prompt
computing service for mobile users on various applications. With appropriate incentives …