Survey on cooperative fusion technologies with perception, communication and control coupled in industrial Internet

被引:0
作者
Tian H. [1 ]
He S. [2 ]
Lin S. [3 ]
Fan S. [1 ]
Nie G. [1 ]
Jiang X. [1 ]
机构
[1] State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing
[2] School of Information Engineering, Zhengzhou University, Zhengzhou
[3] Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing
来源
Tongxin Xuebao/Journal on Communications | 2021年 / 42卷 / 10期
基金
中国国家自然科学基金;
关键词
Communication and control; Cooperative fusion; Decoupling of perception; Industrial Internet; Information flow;
D O I
10.11959/j.issn.1000-436x.2021177
中图分类号
学科分类号
摘要
The cooperative fusion with perception, communication and control is the inevitable trend of industrial Internet. Sorting out the research development and challenges of the cooperative fusion technologies with perception, communication and control in industrial Internet is of great significance to promote the development of industrial Internet. Firstly, the complicated coupling relationship among perception, communication and control in industrial Internet was introduced. Then, the related works and open problems of the cooperative fusion technologies with perception, communication and control were summarized. Finally, the future research directions were summarized and prospected for the problems of the cooperative fusion technologies with perception, communication and control in industrial Internet. © 2021, Editorial Board of Journal on Communications. All right reserved.
引用
收藏
页码:211 / 221
页数:10
相关论文
共 71 条
  • [1] GUAN X P, CHEN C L, YANG B, Et al., Towards the integration of sensing, transmission and control for industrial network systems: challenges and recent developments, Acta Automatica Sinica, 45, 1, pp. 25-36, (2019)
  • [2] DEEP S K, SOOD S K., 5G ready optical fog-assisted cyber-physical system for IoT applications, IET Cyber-Physical Systems: Theory & Ap-plications, 5, 2, pp. 137-144, (2020)
  • [3] IOANNOU I, VASSILIOU V, CHRISTOPHOROU C, Et al., Distributed artificial intelligence solution for D2D communication in 5G networks, IEEE Systems Journal, 14, 3, pp. 4232-4241, (2020)
  • [4] TAO F, CHENG J F, QI Q L., IIHub: an industrial Internet-of-things hub toward smart manufacturing based on cyber-physical system, IEEE Transactions on Industrial Informatics, 14, 5, pp. 2271-2280, (2018)
  • [5] SENGAN S, NAIR S K, Et al., Enhancing cyber-physical systems with hybrid smart city cyber security architecture for secure public data-smart network, Future Generation Computer Systems, 112, pp. 724-737, (2020)
  • [6] WANG Z M., Research on mobile industry edge cloud technology, Communi-cations World, 23, pp. 43-44, (2018)
  • [7] TALEB T, SAMDANIS K, MADA B, Et al., On multi-access edge computing: a survey of the emerging 5G network edge cloud architecture and or-chestration, IEEE Communications Surveys & Tutorials, 19, 3, pp. 1657-1681, (2017)
  • [8] KAUR K, GARG S, AUJLA G S, Et al., Edge computing in the industrial Internet of things environment: software-defined-networks-based edge-cloud interplay, IEEE Communications Magazine, 56, 2, pp. 44-51, (2018)
  • [9] XU F M, YE H Y, YANG F, Et al., Software defined mission-critical wireless sensor network: architecture and edge offloading strategy, IEEE Access, 7, pp. 10383-10391, (2019)
  • [10] XU F M, YE H Y, CUI S H, Et al., Software defined industrial network: architecture and edge offloading strategy, Communications and Networking, pp. 46-56, (2019)