工业互联网感知通信控制协同融合技术研究综述

doi:10.11959/j.issn.1000-436x.2021177

Abstract

Abstract:

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.

Key words: industrial Internet, information flow, decoupling of perception, communication and control, cooperative fusion

CLC Number:

TN92

Hui TIAN, Shuo HE, Shangjing LIN, Shaoshuai FAN, Gaofeng NIE, Xiurong JIANG. Survey on cooperative fusion technologies with perception, communication and control coupled in industrial Internet[J]. Journal on Communications, 2021, 42(10): 211-221.

Figures/Tables 3

References 71

[1]	关新平, 陈彩莲, 杨博 ,等. 工业网络系统的感知-传输-控制一体化:挑战和进展[J]. 自动化学报, 2019,45(1): 25-36.
	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[J]. Acta Automatica Sinica, 2019,45(1): 25-36.
[2]	DEEP S K , SOOD S K . 5G ready optical fog-assisted cyber-physical system for IoT applications[J]. IET Cyber-Physical Systems:Theory＆ Applications, 2020,5(2): 137-144.
[3]	IOANNOU I , VASSILIOU V , CHRISTOPHOROU C ,et al. Distributed artificial intelligence solution for D2D communication in 5G networks[J]. IEEE Systems Journal, 2020,14(3): 4232-4241.
[4]	TAO F , CHENG J F , QI Q L . IIHub:an industrial Internet-of-things hub toward smart manufacturing based on cyber-physical system[J]. IEEE Transactions on Industrial Informatics, 2018,14(5): 2271-2280.
[5]	SENGAN S , V S , NAIR S K ,et al. Enhancing cyber-physical systems with hybrid smart city cyber security architecture for secure public data-smart network[J]. Future Generation Computer Systems, 2020,112: 724-737.
[6]	王智明 . 移动工业边缘云技术研究[J]. 通信世界, 2018(23): 43-44.
	WANG Z M . Research on mobile industry edge cloud technology[J]. Communications World, 2018(23): 43-44.
[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 orchestration[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(3): 1657-1681.
[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[J]. IEEE Communications Magazine, 2018,56(2): 44-51.
[9]	XU F M , YE H Y , YANG F ,et al. Software defined mission-critical wireless sensor network:architecture and edge offloading strategy[J]. IEEE Access, 2019,7: 10383-10391.
[10]	XU F M , YE H Y , CUI S H ,et al. Software defined industrial network:architecture and edge offloading strategy[C]// Communications and Networking. Cham:Springer International Publishing, 2019: 46-56.
[11]	LIU J , MAO Y Y , ZHANG J ,et al. Delay-optimal computation task scheduling for mobile-edge computing systems[C]// Proceedings of 2016 IEEE International Symposium on Information Theory (ISIT). Piscataway:IEEE Press, 2016: 1451-1455.
[12]	KO H , LEE J , PACK S . Spatial and temporal computation offloading decision algorithm in edge cloud-enabled heterogeneous networks[J]. IEEE Access, 2018,6: 18920-18932.
[13]	QIAN L P , SHI B H , WU Y ,et al. NOMA-enabled mobile edge computing for Internet of things via joint communication and computation resource allocations[J]. IEEE Internet of Things Journal, 2020,7(1): 718-733.
[14]	REN C S , LYU X C , NI W ,et al. Distributed online optimization of fog computing for Internet of things under finite device buffers[J]. IEEE Internet of Things Journal, 2020,7(6): 5434-5448.
[15]	CHENY H , ZHAO D M , CHENY Q ,et al. Joint computation offloading and radio resource allocations in wireless cellular net works[C]// Proceedings of the 10th International Conference on Wireless Communications and Signal Processing (WCSP). Piscataway:IEEE Press, 2018: 1-6.
[16]	ZHAO P T , TIAN H , QIN C ,et al. Energy-saving offloading by jointly allocating radio and computational resources for mobile edge computing[J]. IEEE Access, 2017,5: 11255-11268.
[17]	LYU X C , NI W , TIAN H ,et al. Optimal schedule of mobile edge computing for Internet of things using partial information[J]. IEEE Journal on Selected Areas in Communications, 2017,35(11): 2606-2615.
[18]	LYU X C , TIAN H , NI W ,et al. Adaptive centralized clustering framework for software-defined ultra-dense wireless networks[J]. IEEE Transactions on Vehicular Technology, 2017,66(9): 8553-8557.
[19]	CHEN S G , ZHENG Y M , LU W F ,et al. Energy-optimal dynamic computation offloading for industrial IoT in fog computing[J]. IEEE Transactions on Green Communications and Networking, 2020,4(2): 566-576.
[20]	WU H , TIAN H , FAN S S ,et al. Data age aware scheduling for wireless powered mobile-edge computing in industrial Internet of things[J]. IEEE Transactions on Industrial Informatics, 2021,17(1): 398-408.
[21]	LYU X C , TIAN H , JIANG L ,et al. Selective offloading in mobile edge computing for the green Internet of things[J]. IEEE Network, 2018,32(1): 54-60.
[22]	LYU X C , NI W , TIAN H ,et al. Distributed online optimization of fog computing for selfish devices with out-of-date information[J]. IEEE Transactions on Wireless Communications, 2018,17(11): 7704-7717.
[23]	LYU X C , REN C S , NI W ,et al. Multi-timescale decentralized online orchestration of software-defined networks[J]. IEEE Journal on Selected Areas in Communications, 2018,36(12): 2716-2730.
[24]	HE S , TIAN H , LYU X C . Edge popularity prediction based on social-driven propagation dynamics[J]. IEEE Communications Letters, 2017,21(5): 1027-1030.
[25]	HE S , TIAN H , LYU X C ,et al. Distributed cache placement and user association in multicast-aided heterogeneous networks[J]. IEEE Access, 2017,5: 25365-25376.
[26]	HE S , LYU X C , NI W ,et al. Virtual service placement for edge computing under finite memory and bandwidth[J]. IEEE Transactions on Communications, 2020,68(12): 7702-7718.
[27]	LYU X C , TIAN H , NI W ,et al. Energy-efficient admission of delay-sensitive tasks for mobile edge computing[J]. IEEE Transactions on Communications, 2018,66(6): 2603-2616.
[28]	LYU X C , REN C S , NI W ,et al. Distributed optimization of collaborative regions in large-scale inhomogeneous fog computing[J]. IEEE Journal on Selected Areas in Communications, 2018,36(3): 574-586.
[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[J]. IEEE Journal on Selected Areas in Communications, 2016,34(12): 3887-3901.
[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[J]. IEEE Transactions on Industrial Informatics, 2014,10(2): 1242-1251.
[31]	YOUSEFI H , MALEKIMAJD M , ASHOURI M ,et al. Fast aggregation scheduling in wireless sensor networks[J]. IEEE Transactions on Wireless Communications, 2015,14(6): 3402-3414.
[32]	ZHANG H B , SOLDATI P , JOHANSSON M . Performance bounds and latency-optimal scheduling for convergecast in WirelessHART networks[J]. IEEE Transactions on Wireless Communications, 2013,12(6): 2688-2696.
[33]	DURMUS Y , OZGOVDE A , ERSOY C . Distributed and online fair resource management in video surveillance sensor networks[J]. IEEE Transactions on Mobile Computing, 2012,11(5): 835-848.
[34]	BROWN J , KHAN J Y . A predictive resource allocation algorithm in the LTE uplink for event based M2M applications[J]. IEEE Transactions on Mobile Computing, 2015,14(12): 2433-2446.
[35]	ZHANG C , YANG C , PANG X ,et al. Efficient sparse code multiple access decoder based on deterministic message passing algorithm[J]. IEEE Transactions on Vehicular Technology, 2020,69(4): 3562-3574.
[36]	HAYAT O , NGAH R , HASHIM S Z M . Multi-user shared access (MUSA) procedure for device discovery in D2D communication[J]. Telecommunication Systems, 2021,76(2): 291-297.
[37]	REN H , PAN C H , DENG Y S ,et al. Joint power and blocklength optimization for uRLLC in a factory automation scenario[J]. IEEE Transactions on Wireless Communications, 2019,19(3): 1786-1801.
[38]	ZENG J , LYU T J , LIN Z P ,et al. Achieving ultrareliable and low-latency communications in IoT by FD-SCMA[J]. IEEE Internet of Things Journal, 2020,7(1): 363-378.
[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[J]. IEEE Communications Letters, 2019,23(5): 892-895.
[40]	BERARDINELLI G , HUDA M N , ABREU R ,et al. Reliability analysis of uplink grant-free transmission over shared resources[J]. IEEE Access, 2018,6: 23602-23611.
[41]	VU T K , LIU C F , BENNIS M ,et al. Ultra-reliable and low latency communication in mmWave-enabled massive MIMO networks[J]. IEEE Communications Letters, 2017,21(9): 2041-2044.
[42]	ZENG J , LYU T J , LIU R P ,et al. Linear minimum error probability detection for massive MU-MIMO with imperfect CSI in uRLLC[J]. IEEE Transactions on Vehicular Technology, 2019,68(11): 11384-11388.
[43]	SHE C Y , CHEN Z C , YANG C Y ,et al. Improving network availability of ultra-reliable and low-latency communications with multi-connectivity[J]. IEEE Transactions on Communications, 2018,66(11): 5482-5496.
[44]	WOLF A , SCHULZ P , D?RPINGHAUS M , ,et al. How reliable and capable is multi-connectivity?[J]. IEEE Transactions on Communications, 2019,67(2): 1506-1520.
[45]	JI H , PARK S , YEO J ,et al. Ultra-reliable and low-latency communications in 5G downlink:physical layer aspects[J]. IEEE Wireless Communications, 2018,25(3): 124-130.
[46]	张轶, 夏亮, 徐晓东 ,等. 3GPP中uRLLC标准研究进展[J]. 移动通信, 2020,44(2): 2-7.
	ZHANG Y , XIA L , XU X D ,et al. The uRLLC standardization progresses in 3GPP[J]. Mobile Communications, 2020,44(2): 2-7.
[47]	PIPPARD A B , DICKE R H . Response and stability,an introduction to the physical theory[J]. American Journal of Physics, 1986,54(11): 1052.
[48]	Analog design essentials[J]. Choice Reviews Online, 2006,44(04): 44-2131.
[49]	EVANS G W . Bringing root locus to the classroom[J]. IEEE Control Systems Magazine, 2004,24(6): 74-81.
[50]	柴天佑 . 生产制造全流程优化控制对控制与优化理论方法的挑战[J]. 自动化学报, 2009,35(6): 641-649.
	CHAI T Y . Challenges of optimal control for plant-wide production processes in terms of control and optimization theories[J]. Acta Automatica Sinica, 2009,35(6): 641-649.
[51]	KALMAN R E . A new approach to linear filtering and prediction problems[J]. Journal of Basic Engineering, 1960,82(1): 35-45.
[52]	BELLMAN R . Dynamic programming[M]. Princeton: Princeton University Press, 1957.
[53]	SWAROOP D , HEDRICK J K . String stability of interconnected systems[J]. IEEE Transactions on Automatic Control, 1996,41(3): 349-357.
[54]	?STR?M K J , ANTON J J , ?RZéN K E , . Expert control[J]. Automatica, 1986,22(3): 277-286.
[55]	PSALTIS D , SIDERIS A , YAMAMURA A A . A multilayered neural network controller[J]. IEEE Control Systems Magazine, 1988,8(2): 17-21.
[56]	O’DWYER A . Handbook of PI and PID controller tuning rules,2nd Edition[R]. 2006.
[57]	韩志刚, 汪国强 . 无模型控制律串级形式及其应用[J]. 自动化学报, 2006,32(3): 345-352.
	HAN Z G , WANG G Q . Cascade scheme of model free control law and its application[J]. Acta Automatica Sinica, 2006,32(3): 345-352.
[58]	SUGIE T , ONO T . An iterative learning control law for dynamical systems[J]. Automatica, 1991,27(4): 729-732.
[59]	WANG L X . Stable adaptive fuzzy control of nonlinear systems[J]. IEEE Transactions on Fuzzy Systems, 1993,1(2): 146-155.
[60]	吴宏鑫 . 智能特征模型和智能控制[J]. 自动化学报, 2002,28(S1): 30-37.
	WU H X . Intelligent characteristic model and intelligent control[J]. Acta Automatica Sinica, 2002,28(S1): 30-37.
[61]	FU Y , CHAI T Y . Nonlinear multivariable adaptive control using multiple models and neural networks[J]. Automatica, 2007,43(6): 1101-1110.
[62]	MASSIONI P , VERHAEGEN M . Distributed control for identical dynamically coupled systems:a decomposition approach[J]. IEEE Transactions on Automatic Control, 2009,54(1): 124-135.
[63]	ZHAO G D , IMRAN M A , PANG Z B ,et al. Toward real-time control in future wireless networks:communication-control co-design[J]. IEEE Communications Magazine, 2019,57(2): 138-144.
[64]	PARK P , COLERI E S , FISCHIONE C ,et al. Wireless network design for control systems:a survey[J]. IEEE Communications Surveys ＆Tutorials, 2018,20(2): 978-1013.
[65]	关新平, 吕玲, 杨博 . 智能工厂的感知、通信与控制[J]. 中兴通讯技术, 2017,23(5): 61-66.
	GUAN X P , LYU L , YANG B . Co-design of sensing,communication and control for the smart factory[J]. ZTE Technology Journal, 2017,23(5): 61-66.
[66]	LYU L , CHEN C L , HUA C Q ,et al. Co-design of stabilisation and transmission scheduling for wireless control systems[J]. IET Control Theory ＆ Applications, 2017,11(11): 1767-1778.
[67]	LYU L , CHEN C L , ZHU S Y ,et al. 5G enabled codesign of energy-efficient transmission and estimation for industrial IoT systems[J]. IEEE Transactions on Industrial Informatics, 2018,14(6): 2690-2704.
[68]	ZENG T C , SEMIARI O , SAAD W ,et al. Joint communication and control for wireless autonomous vehicular platoon systems[J]. IEEE Transactions on Communications, 2019,67(11): 7907-7922.
[69]	TONG X , ZHAO G D , IMRAN M A ,et al. Minimizing wireless resource consumption for packetized predictive control in real-time cyber physical systems[C]// Proceedings of 2018 IEEE International Conference on Communications Workshops (ICC Workshops). Piscataway:IEEE Press, 2018: 1-6.
[70]	蔡岳平, 李栋, 许驰 ,等. 面向工业互联网的 5G-U 与时间敏感网络融合架构与技术[J]. 通信学报, 2021-08-11.
	CAI Y P , LI D , XU C ,et al. Integrating 5G-U with time-sensitive networking for industrial Internet:architectures and technologies[J]. Journal on Communications, 2021-08-11.
[71]	陈力, 卫国 . 未来无线网络下的空中计算技术[J]. 中兴通讯技术, 2019,25(1): 29-34.
	CHEN L , WEI G . Over-the-air computation for future networks[J]. ZTE Technology Journal, 2019,25(1): 29-34.

Metrics

Recommended 0

No Suggested Reading articles found!

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

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 3

References 71

Related Articles 9

Metrics

Recommended 0

[1]	Jingbo LI, Li MA, Yang LI, Yingxun FU, Dongchao MA. Optimized design of sensing transmission and computing collaborative industrial Internet [J]. Journal on Communications, 2023, 44(6): 12-22.
[2]	Xiaodong YANG, Tian TIAN, Jiaqi WANG, Meijuan LI, Caifen WANG. Certificateless ciphertext retrieval scheme with multi-user and multi-keyword based on cloud-edge collaboration [J]. Journal on Communications, 2022, 43(5): 144-154.
[3]	Haili SUN, Xiang LONG, Lansheng HAN, Yan HUANG, Qingbo LI. Overview of anomaly detection techniques for industrial Internet of things [J]. Journal on Communications, 2022, 43(3): 196-210.
[4]	Hui TIAN, Hao WU, Yang TIAN, Jianyang REN, Yajuan CUI, Wenbao AI, Jianhua YUAN. Recovery mechanism of large-scale damaged edge computing network in industrial Internet of things [J]. Journal on Communications, 2021, 42(4): 89-99.
[5]	Yingzhuo XIANG,Zhengguo XU,Ling YOU. Instruction flow mining algorithm based on the temporal sequence of node communication actions [J]. Journal on Communications, 2019, 40(9): 51-60.
[6]	HUANG Tao,WANG Shuo,HUANG Yudong,ZHENG Yao,LIU Jiang,LIU Yunjie. Survey of the deterministic network [J]. Journal on Communications, 2019, 40(6): 160-176.
[7]	. Composable information flow verification for service chain based on model checking [J]. Journal on Communications, 2014, 35(11): 3-22.
[8]	Ning XI,Jian-feng MA,Cong SUN,Di LU,Tao ZHANG. Composable information flow verification for service chain based on model checking [J]. Journal on Communications, 2014, 35(11): 23-31.
[9]	Li YAN,Shi-guang JU,Chang-da WANG. Real-time monitoring and controlling to secure information flow [J]. Journal on Communications, 2008, 29(10): 51-57.