Survey of graph neural networks and applications
The advance of deep learning has shown great potential in applications (speech, image,
and video classification). In these applications, deep learning models are trained by …
and video classification). In these applications, deep learning models are trained by …
CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks
With the advent of Industry 5.0, access devices are becoming more and more demanding on
the network. For example, in areas such as financial transactions, drone control and …
the network. For example, in areas such as financial transactions, drone control and …
Workload re-allocation for edge computing with server collaboration: A cooperative queueing game approach
In this paper, a long-term workload management problem for multi-server edge computing
with server collaboration is studied. In the considered model, mobile users' computation …
with server collaboration is studied. In the considered model, mobile users' computation …
Deep reinforcement learning-based task scheduling and resource allocation for NOMA-MEC in Industrial Internet of Things
L Lin, W Zhou, Z Yang, J Liu - Peer-to-Peer Networking and Applications, 2023 - Springer
Abstract Mobile Edge Computing (MEC) and Non-Orthogonal Multiple Access (NOMA) have
been treated as promising technologies to process the delay-sensitive tasks in the Industrial …
been treated as promising technologies to process the delay-sensitive tasks in the Industrial …
An rfid-powered multisensing fusion industrial iot system for food quality assessment and sensing
C Song, Z Wu, J Gray, Z Meng - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
The development of the Internet of Things (IoTs) has empowered revolution in almost all
walks of life. Although substantial effort has been made to bring IoT into manufacturing, there …
walks of life. Although substantial effort has been made to bring IoT into manufacturing, there …
Toward Deep Q-Network-Based Resource Allocation in Industrial Internet of Things
With the increasing adoption of Industrial Internet-of-Things (IIoT) devices, infrastructures,
and supporting applications, it is critical to design schemes to effectively allocate resources …
and supporting applications, it is critical to design schemes to effectively allocate resources …
Statistical Learning-Based Adaptive Network Access for the Industrial Internet of Things
Industrial Internet of Things (IIoT) applications generate data in varying amounts with diverse
quality of service requirements. The adaptive network access approach and distributed …
quality of service requirements. The adaptive network access approach and distributed …
Queue stability and dynamic throughput maximization in multi-agent heterogeneous wireless networks
T Yang, J Sun, A Mohajer - Wireless Networks, 2024 - Springer
Abstract The Industrial Internet of Things (IIoT) envisions enhanced surveillance and control
for industrial applications through diverse IoT devices. However, the increasing …
for industrial applications through diverse IoT devices. However, the increasing …
Low-carbon technology innovation decision making of manufacturing companies in the industrial internet platform ecosystem
H Zhao, G Xu, L Liu, C Shi, H Zhao - Sustainability, 2023 - mdpi.com
Low carbon has become a highly relevant topic in today's society, particularly for
manufacturing enterprises. To gain insight into how manufacturing enterprises embedded in …
manufacturing enterprises. To gain insight into how manufacturing enterprises embedded in …
Energy-aware service allocation: A crow search-based approach
CR Chowdhury, S Misra… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The allocation of services from the cloud to edge servers in the Industrial Internet of Things
(IIoT) emerges as a promising solution for providing time-critical services by shifting …
(IIoT) emerges as a promising solution for providing time-critical services by shifting …