Paper Info
Title
Real-Time Transmission Optimization for Edge Computing in Industrial Cyber-Physical Systems
Abstract
With the rapid development of Industry 4.0, the industrial cyber-physical systems (ICPS) are expected to realize the digital sensing, automatic control, and refined management in smart factories. However, limited bandwidth resources and severe industrial interference make it difficult to meet the real-time and ultrahigh reliability in edge computing (EC)-based next-generation industrial automation networks. To tackle these challenges, in this article, we propose a real-time transmission optimization scheme to accelerate EC. First, we establish a hierarchical system model for smart manufacturing and automation scenarios. Then we present a power control optimization method based on noncooperative game to alleviate interference and reduce energy consumption. Finally, we propose a path optimization scheme based on Q-learning for low-latency and ultrahigh reliability transmission requirements. Extensive simulation results reveal that our proposals perform better in terms of transmission delay and packet-loss rate compared with traditional methods, and therefore, contributes to EC deployment in ICPS.
Year
DOI
Venue
2022
10.1109/TII.2022.3181199
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Edge computing (EC),industrial cyber-physical systems (ICPS),noncooperative game (NG-PCO),power control,real-time transmission,smart factories
Journal
18
Issue
ISSN
Citations 
12
1551-3203
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yuhuai Peng100.68
Alireza Jolfaei200.68
Qiaozhi Hua300.34
Wen-Long Shang400.34
Keping Yu500.68