A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory

被引:146
|
作者
Wu, Yulei [1 ]
Dai, Hong-Ning [2 ]
Wang, Haozhe [1 ]
Xiong, Zehui [3 ]
Guo, Song [4 ]
机构
[1] Univ Exeter, Coll Engn Math & Phys Sci, Exeter EX4 4QF, Devon, England
[2] Lingnan Univ, Dept Comp & Decis Sci, Hong Kong, Peoples R China
[3] Singapore Univ Technol & Design, Pillar Informat Syst Technol & Design, Singapore, Singapore
[4] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
来源
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
Industrial Internet of Things; Network slicing; Smart manufacturing; Smart transportation; Computer architecture; Intelligent networks; Ultra reliable low latency communication; autonomous vehicle; smart energy; smart factory; orchestration and management; LOW-LATENCY; ARTIFICIAL-INTELLIGENCE; FUNCTION VIRTUALIZATION; ORCHESTRATION PLATFORM; COMPREHENSIVE SURVEY; RESOURCE-MANAGEMENT; WIRELESS NETWORKS; CORE NETWORK; 5G; INTERNET;
D O I
10.1109/COMST.2022.3158270
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Network slicing has been widely agreed as a promising technique to accommodate diverse services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and smart factory/manufacturing are the three key services to form the backbone of IIoT. Network slicing management is of paramount importance in the face of IIoT services with diversified requirements. It is important to have a comprehensive survey on intelligent network slicing management to provide guidance for future research in this field. In this paper, we provide a thorough investigation and analysis of network slicing management in its general use cases as well as specific IIoT services including smart transportation, smart energy and smart factory, and highlight the advantages and drawbacks across many existing works/surveys and this current survey in terms of a set of important criteria. In addition, we present an architecture for intelligent network slicing management for IIoT focusing on the above three IIoT services. For each service, we provide a detailed analysis of the application requirements and network slicing architecture, as well as the associated enabling technologies. Further, we present a deep understanding of network slicing orchestration and management for each service, in terms of orchestration architecture, AI-assisted management and operation, edge computing empowered network slicing, reliability, and security. For the presented architecture for intelligent network slicing management and its application in each IIoT service, we identify the corresponding key challenges and open issues that can guide future research. To facilitate the understanding of the implementation, we provide a case study of the intelligent network slicing management for integrated smart transportation, smart energy, and smart factory. Some lessons learnt include: 1) For smart transportation, it is necessary to explicitly identify service function chains (SFCs) for specific applications along with the orchestration of underlying VNFs/PNFs for supporting such SFCs; 2) For smart energy, it is crucial to guarantee both ultra-low latency and extremely high reliability; 3) For smart factory, resource management across heterogeneous network domains is of paramount importance. We hope that this survey is useful for both researchers and engineers on the innovation and deployment of intelligent network slicing management for IIoT.
引用
收藏
页码:1175 / 1211
页数:37
相关论文
共 50 条
  • [31] Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities
    Raaj, A. T. Mithul
    Balaji, B.
    Pravin, R. R. Sai Arun
    Naidu, Rani Chinnappa
    Kumar, M. Rajesh
    Ramachandran, Prakash
    Rajkumar, Sujatha
    Kumar, Vaegae Naveen
    Aggarwal, Geetika
    Siddiqui, Arooj Mubashara
    IOT, 2024, 5 (03): : 560 - 591
  • [32] A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry
    Farooq, Muhammad Shoaib
    Abdullah, Muhammad
    Riaz, Shamyla
    Alvi, Atif
    Rustam, Furqan
    Lopez Flores, Miguel Angel
    Castanedo Galan, Juan
    Samad, Md Abdus
    Ashraf, Imran
    SENSORS, 2023, 23 (21)
  • [33] Integrated Smart IoT Infrastructure Management Using Window Blockchain and Whale LSTM Approaches
    Janani, K.
    Ramamoorthy, S.
    ADVANCES IN INFORMATION COMMUNICATION TECHNOLOGY AND COMPUTING, AICTC 2021, 2022, 392 : 99 - 119
  • [34] Introduction to the Special Section on Edge Computing AI-IoT Integrated Energy Efficient Intelligent Transportation System for Smart Cities
    Garcia-Diaz, Vicente
    Lin, Jerry Chun-Wei
    Morente Molinera, Juan Antonio
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, 22 (04)
  • [35] Smart-Agri: A Smart Agricultural Management with IoT-ML-Blockchain Integrated Framework
    Hossain, Mamun
    Rahman, Ashiqur
    Chaki, Sudipto
    Ahmed, Humayra
    Haque, Ahsanul
    Tamanna, Iffat
    Lima, Sweety
    Ferdous, Jannatul
    Rahman, Md. Saifur
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (07) : 985 - 996
  • [36] Development of Intelligent Building Management System Evaluation and Selection for Smart Factory: An Integrated MCDM Approach
    Yang, C. H.
    2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, : 1505 - 1509
  • [37] A smart building with integrated energy management: Steps toward the creation of a smart city
    Majdi, Ali
    Dwijendra, Ngakan Ketut Acwin
    Muda, Iskandar
    Chetthamrongchai, Paitoon
    Sivaraman, R.
    Hammid, Ali Thaeer
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 53
  • [38] Smart grids, prosumers and energy management within a smart city integrated system
    Savastano, Marco
    Suciu, Marta-Christina
    Gorelova, Irina
    Stativa, Gheorghe-Alexandru
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BUSINESS EXCELLENCE, 2020, 14 (01): : 1121 - 1134
  • [39] Intelligent Total Transportation Management System for Future Smart Cities
    Nguyen, Dinh Dung
    Rohacs, Jozsef
    Rohacs, Daniel
    Boros, Anita
    APPLIED SCIENCES-BASEL, 2020, 10 (24): : 1 - 31
  • [40] Intelligent algorithms for incident detection and management in smart transportation systems
    Huang, Yijing
    Wei, Wanyue
    He, Yang
    Wu, Qihong
    Xu, Kaiming
    COMPUTERS & ELECTRICAL ENGINEERING, 2023, 110