Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT

G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …

Novel online network intrusion detection system for industrial IoT based on OI-SVDD and AS-ELM

E Gyamfi, AD Jurcut - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) should be equipped with computational resources to
detect network intrusions, types of attacks, and update their models automatically in real …

Privacy-preserved credit data sharing integrating blockchain and federated learning for industrial 4.0

F Yang, Y Qiao, MZ Abedin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we aim to design an architecture for privacy-preserved credit data and model
sharing to guarantee the secure storage and sharing of credit information in a distributed …

Adaptive performance modeling framework for QoS-aware offloading in MEC-based IIoT systems

S Bebortta, D Senapati, CR Panigrahi… - IEEE internet of things …, 2021 - ieeexplore.ieee.org
The extensive growth in Industrial Internet of Things (IIoT) applications has tremendously
increased the demands for low latency and resource-sensitive computing to accomplish …

Joint resource scheduling for UAV-enabled mobile edge computing system in Internet of Vehicles

L Sun, L Wan, J Wang, L Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The sudden outbreak of COVID-19 brings many unpredictable situations to human travel,
such as temporarily closed highways, parking lots, etc. The scenarios mentioned above will …

A DRL-driven intelligent joint optimization strategy for computation offloading and resource allocation in ubiquitous edge IoT systems

M Yi, P Yang, M Chen, NT Loc - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent computation offloading and resource allocation for mobile users (MUs) in
ubiquitous edge Internet of Things (IoT) systems is a worthy research hotspot. To improve …

Federated deep reinforcement learning for energy-efficient edge computing offloading and resource allocation in industrial internet

X Li, J Zhang, C Pan - Applied Sciences, 2023 - mdpi.com
Industrial Internet mobile edge computing (MEC) deploys edge servers near base stations to
bring computing resources to the edge of industrial networks to meet the energy-saving …

A spatio-temporal constrained hierarchical scheduling strategy for multiple warehouse mobile robots under industrial cyber–physical system

Y Lian, Q Yang, Y Liu, W Xie - Advanced Engineering Informatics, 2022 - Elsevier
The industrial cyber–physical system (ICPS) framework can reduce the computational load
and improve task efficiency. This paper studies the ICPS-based scheduling strategy for multi …

An online algorithm for virtualized network function placement in mobile edge industrial Internet of Things

J Liang, F Tian - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
Mobile edge Industrial Internet of Things (MEIIoT) is composed of Industrial Internet of
Things (IIoT) and mobile edge computing, which is currently a new type of IIoT. MEIIoT has …

A task offloading algorithm for cloud-edge collaborative system based on Lyapunov optimization

J Gao, R Chang, Z Yang, Q Huang, Y Zhao, Y Wu - Cluster Computing, 2023 - Springer
Due to the limitation of computing resources and storage resources, mobile edge computing
cannot cope with the massive data generated by the Industrial Internet of Things (IIoT) …