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Digital Twin Networks: A Survey

IEEE Internet of Things Journal · 2021 · Vol. 8(18) · pp. 13789–13804
Yiwen WuKe ZhangYan Zhang

Abstract

Digital twin network (DTN) is an emerging network that utilizes digital twin (DT) technology to create the virtual twins of physical objects. DTN realizes co-evolution between physical and virtual spaces through DT modeling, communication, computing, data processing technologies. In this article, we present a comprehensive survey of DTN to explore the potentiality of DT. First, we elaborate key features and definitions of DTN. Next, the key technologies and the technical challenges in DTN are discussed. Furthermore, we depict the typical application scenarios, such as manufacturing, aviation, healthcare, 6G networks, intelligent transportation systems, and urban intelligence in smart cities. Finally, the new trends and open research issues related to DTN are pointed out.

Digital Transformation in IndustryIoT and Edge/Fog ComputingBlockchain Technology Applications and SecurityKey (lock)Computer scienceOpen researchData scienceTelecommunicationsWorld Wide WebComputer security

Funding

  • National Natural Science Foundation of China
Citations
779
FWCI
82.92
field-weighted impact
References
38
Percentile
100%
vs. same field & year
Citations per year
References
Digital twin-driven product design, manufacturing and service with big data
The International Journal of Advanced Manufacturing Technology · 2017 · 2,689 citations
Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0
IEEE Transactions on Industrial Informatics · 2018 · 495 citations
The role of data fusion in predictive maintenance using digital twin
AIP conference proceedings · 2018 · 329 citations
Digital Twin in Industry: State-of-the-Art
IEEE Transactions on Industrial Informatics · 2019 · 3,580 citations
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