Multipath Communication With Deep Q-Network for Industry 4.0 Automation and Orchestration

被引:19
|
作者
Pokhrel, Shiva Raj [1 ]
Garg, Sahil [2 ]
机构
[1] Deakin Univ, Fac Sci Engn & Built Environm, Sch IT, Geelong, Vic 3220, Australia
[2] Univ Quebec, Ecole Technol Super ETS, Montreal, PQ H3C 1K3, Canada
关键词
Automation; deep Q-learning; industrial Internet of Things (IIoT); Industry; 4.0; information technology cum operation technology (IT/OT) convergence; multipath protocol design; orchestration; smart manufacturing; CONGESTION CONTROL; TCP;
D O I
10.1109/TII.2020.3000502
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we design a novel multipath communication framework for Industry 4.0 using deep Q-network [1] to achieve human-level intelligence in networking automation and orchestration. To elaborate, we first investigate the challenges and approaches in exploiting heterogeneous networks and multipath communication [e.g., using multipath transmission control protocol (MPTCP)] for the information technology cum operation technology (IT/OT) convergence in Industry 4.0. Based on the novel idea of intelligent and flexible manufacturing, we analyze the technical challenges of IT/OT convergence and then model network data traffics using MPTCP over the converged frameworks. It quantifies the adverse impact of network convergence on the performance for flexible manufacturing. We provide a few proof-of-concepts solutions; however, after a clear understanding of the tradeoffs, we discover the need for experience-driven MPTCP. The simulation result demonstrates that the proposed scheme significantly outperforms the baseline schemes.
引用
收藏
页码:2852 / 2859
页数:8
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