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

Wu, Yulei; Dai, Hong‐Ning; Wang, Haozhe; Xiong, Zehui; Guo, Song

doi:10.1109/comst.2022.3158270

articleIEEE Communications Surveys & TutorialsJan 1, 2022GREEN OA

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

YWYulei Wu HDHong‐Ning Dai HWHaozhe Wang ZXZehui Xiong SGSong Guo

University of Exeter · Singapore University of Technology and Design · +1 more institution

Indexed incrossref

Abstract

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…

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296

total citations

FWCI: 39.75
Percentile: 100%
References: 226

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Authors

5

Topics & keywords

Topics

Keywords

Computer science
Slicing
Orchestration
Service (business)
Factory (object-oriented programming)
World Wide Web
Business

UN Sustainable Development Goals

Industry, innovation and infrastructure

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