[HTML][HTML] Blockchain technology meets 6 G wireless networks: A systematic survey

KMB Hasan, M Sajid, MA Lapina, M Shahid… - Alexandria Engineering …, 2024 - Elsevier
To address the limitations of 5 G, 6 G wireless networks are envisaged to provide sub-
millisecond latency, ultra-high connection density, extremely high data rates, better …

Load frequency control in smart grids: A review of recent developments

M Wadi, A Shobole, W Elmasry, I Kucuk - Renewable and Sustainable …, 2024 - Elsevier
This study provides a comprehensive and fresh review of load frequency control (LFC) in
multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep …

Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges

J Leng, X Zhu, Z Huang, X Li, P Zheng, X Zhou… - Journal of Manufacturing …, 2024 - Elsevier
With the continuous development of human-centric, resilient, and sustainable manufacturing
towards Industry 5.0, Artificial Intelligence (AI) has gradually unveiled new opportunities for …

Edge Intelligence for Industrial IoT: Opportunities and Limitations

C Savaglio, P Mazzei, G Fortino - Procedia Computer Science, 2024 - Elsevier
Abstract Industrial Internet of Things (IIoT) nowadays represents a fundamental technology
for the Industry 4.0 initiatives for connecting devices, operators and processes so as to …

[HTML][HTML] Enhancing secure financial transactions through the synergy of blockchain and artificial intelligence

A Alenizi, S Mishra, A Baihan - Ain Shams Engineering Journal, 2024 - Elsevier
Blockchain and artificial intelligence are innovative technologies that can securely process
and share data across unreliable networks. Due to data leakage from user information, it is …

A Cluster-Based Data Transmission Strategy for Blockchain Network in the Industrial Internet of Things

R Huo, X Cheng, C Sun, T Huang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The proliferation of devices and data in the Industrial Internet of Things (IIoT) has rendered
the traditional centralized cloud model unable to meet the stringent requirements of wide …

Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems

X Wang, Y Zhao, C Qiu, Q Hu, V Leung - arXiv preprint arXiv:2404.13348, 2024 - arxiv.org
Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …

ρi-BLoM: a privacy preserving framework for the industrial IoT based on blockchain and machine learning

N Hasan, K Chaudhary - … Journal of System Assurance Engineering and …, 2024 - Springer
Abstract The Industrial Internet of Things (IoT) comes together with different services,
industrial applications, sensors, machines, and databases. Industrial IoT is improving the …

Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation

R Fan, H Jing, Z Jing - IEEE Access, 2024 - ieeexplore.ieee.org
Mobile operation belongs to the innovation of a business model. At present, the
management form of mobile operation is still in manual management, and there are many …

Multi‐dimensional resource management with deep deterministic policy gradient for digital twin‐enabled Industrial Internet of Things in 6 generation

Y Hu, N Cao, H Lu, Y Jiang, Y Liu… - Transactions on …, 2024 - Wiley Online Library
In the era of sixth generation mobile networks (6G), industrial big data is rapidly generated
due to the increasing data‐driven applications in the Industrial Internet of Things (IIoT) …