A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory-Reference-Cited by-同舟云学术

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

Published:2022 Issue:2 Volume:24 Page:1175-1211
ISSN:1553-877X
Container-title:IEEE Communications Surveys & Tutorials
language:
Short-container-title:IEEE Commun. Surv. Tutorials

Author:

Wu Yulei¹^ORCID,Dai Hong-Ning²^ORCID,Wang Haozhe¹^ORCID,Xiong Zehui³^ORCID,Guo Song⁴^ORCID

Affiliation:

1. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, U.K.

2. Department of Computing and Decision Sciences, Lingnan University, Hong Kong

3. Pillar of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore

4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong

Funder

Engineering and Physical Sciences Research Council

Singapore University of Technology and Design

Hong Kong RGC Research Impact Fund

General Research Fund

National Natural Science Foundation of China

Shenzhen Science and Technology Innovation Commission

LEO Dr. David P. Chan Institute of Data Science, Lingnan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9739/9779264/09732420.pdf?arnumber=9732420

Reference224 articles.

1. Learning-Assisted Secure End-to-End Network Slicing for Cyber-Physical Systems

2. OKpi: All-KPI Network Slicing Through Efficient Resource Allocation

3. SEED: QoS-Aware Sustainable Energy Distribution in Smart Grid

4. Network Slicing Cost Allocation Model

5. Smart energy driven business model innovation: An analysis of existing business models and implications for business model change in the energy sector

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