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
  • [31] YOUSEFI H, MALEKIMAJD M, ASHOURI M, Et al., Fast aggregation scheduling in wireless sensor networks, IEEE Transactions on Wireless Communications, 14, 6, pp. 3402-3414, (2015)
  • [32] ZHANG H B, SOLDATI P, JOHANSSON M., Performance bounds and latency-optimal scheduling for convergecast in WirelessHART networks, IEEE Transactions on Wireless Communications, 12, 6, pp. 2688-2696, (2013)
  • [33] DURMUS Y, OZGOVDE A, ERSOY C., Distributed and online fair resource management in video surveillance sensor networks, IEEE Transactions on Mobile Computing, 11, 5, pp. 835-848, (2012)
  • [34] BROWN J, KHAN J Y., A predictive resource allocation algorithm in the LTE uplink for event based M2M applications, IEEE Transactions on Mobile Computing, 14, 12, pp. 2433-2446, (2015)
  • [35] ZHANG C, YANG C, PANG X, Et al., Efficient sparse code multiple access decoder based on deterministic message passing algorithm, IEEE Trans-actions on Vehicular Technology, 69, 4, pp. 3562-3574, (2020)
  • [36] HAYAT O, NGAH R, HASHIM S Z M., Multi-user shared access (MUSA) procedure for device discovery in D2D communication, Telecommunication Systems, 76, 2, pp. 291-297, (2021)
  • [37] REN H, PAN C H, DENG Y S, Et al., Joint power and blocklength optimization for uRLLC in a factory automation scenario, IEEE Transactions on Wireless Communications, 19, 3, pp. 1786-1801, (2019)
  • [38] ZENG J, LYU T J, LIN Z P, Et al., Achieving ultrareliable and low-latency communications in IoT by FD-SCMA, IEEE Internet of Things Journal, 7, 1, pp. 363-378, (2020)
  • [39] ZHAO L L, CHI X F, QIAN L, Et al., Analysis on latency-bounded reliability for adaptive grant-free access with multipackets reception (MPR) in uRLLCs, IEEE Communications Letters, 23, 5, pp. 892-895, (2019)
  • [40] BERARDINELLI G, HUDA M N, ABREU R, Et al., Reliability analysis of uplink grant-free transmission over shared resources, IEEE Access, 6, pp. 23602-23611, (2018)