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
  • [21] LYU X C, TIAN H, JIANG L, Et al., Selective offloading in mobile edge computing for the green Internet of things, IEEE Network, 32, 1, pp. 54-60, (2018)
  • [22] LYU X C, NI W, TIAN H, Et al., Distributed online optimization of fog computing for selfish devices with out-of-date information, IEEE Transactions on Wireless Communications, 17, 11, pp. 7704-7717, (2018)
  • [23] LYU X C, REN C S, NI W, Et al., Multi-timescale decentralized online orchestration of software-defined networks, IEEE Journal on Selected Areas in Communications, 36, 12, pp. 2716-2730, (2018)
  • [24] HE S, TIAN H, LYU X C., Edge popularity prediction based on social-driven propagation dynamics, IEEE Communications Letters, 21, 5, pp. 1027-1030, (2017)
  • [25] HE S, TIAN H, LYU X C, Et al., Distributed cache placement and user association in multicast-aided heterogeneous networks, IEEE Access, 5, pp. 25365-25376, (2017)
  • [26] HE S, LYU X C, NI W, Et al., Virtual service placement for edge computing under finite memory and bandwidth, IEEE Transactions on Communications, 68, 12, pp. 7702-7718, (2020)
  • [27] LYU X C, TIAN H, NI W, Et al., Energy-efficient admission of delay-sensitive tasks for mobile edge computing, IEEE Transactions on Communications, 66, 6, pp. 2603-2616, (2018)
  • [28] LYU X C, REN C S, NI W, Et al., Distributed optimization of collaborative regions in large-scale inhomogeneous fog computing, IEEE Journal on Selected Areas in Communications, 36, 3, pp. 574-586, (2018)
  • [29] PU L J, CHEN X, XU J D, Et al., D2D fogging: an energy-efficient and incentive-aware task offloading framework via network-assisted D2D collaboration, IEEE Journal on Selected Areas in Communications, 34, 12, pp. 3887-3901, (2016)
  • [30] YAN H R, ZHANG Y, PANG Z B, Et al., Superframe planning and access latency of slotted MAC for industrial WSN in IoT environment, IEEE Transactions on Industrial Informatics, 10, 2, pp. 1242-1251, (2014)
12345678