Analysis and Prediction of Mobile Industrial Internet of Things (IIoT) Communications Based on FL-GLP-Net-Reference-Cited by-同舟云学术

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Analysis and Prediction of Mobile Industrial Internet of Things (IIoT) Communications Based on FL-GLP-Net

Published:2024-06-15 Issue:12 Volume:11 Page:21574-21584
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xu Lingwei¹^ORCID,Cao Shubo¹^ORCID,Li Xingwang²^ORCID,Gulliver T. Aaron³^ORCID

Affiliation:

1. Department of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China

2. School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China

3. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

Funder

National Natural Science Foundation of China

Foundation of Key Laboratory of System Control and Information Processing, Ministry of Education, China

Open Foundation of Anhui Province Key Laboratory of Advanced Numerical Control & Servo Technology

Open Foundation of Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis

Open Project Program of the State Key Laboratory of CAD&CG, Zhejiang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10468579.pdf?arnumber=10468579

Reference36 articles.

1. A Defensive Strategy Against Beam Training Attack in 5G mmWave Networks for Manufacturing

2. Intelligent VNF Placement to Mitigate DDoS Attacks on Industrial IoT

3. Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks

4. QoS and Privacy-Aware Routing for 5G enabled Industrial Internet of Things: A Federated Reinforcement Learning Approach

5. Physical Layer Security for Beyond 5G: Ultra Secure Low Latency Communications

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