Digital Twin: Network Provisioning of Mission Critical Communication in Cyber Physical Production Systems

Szabó, Géza; Rácz, Sándor; Reider, Norbert; Munz, Hubertus A.; Pető, József

doi:10.1109/iciaict.2019.8784852

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…With the further development and evolution of the digital twin technology, the physical reality will be more precisely digitized. The digital world and the physical world will map to and influence each other, achieving simultaneous development [30], [99], [125]. What's amazing is that, with the help of AI and other intelligent technologies, users' operations and predictions in the digital world can correspond to the conditions in the physical world, which provides a reference for decision-making in the physical world.…”

Section: Intelligence Levelmentioning

confidence: 99%

On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

Wang

You

Gao

et al. 2023

IEEE Commun. Surv. Tutorials

263

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Section: Intelligence Levelmentioning

confidence: 99%

On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

Wang

You

Gao

et al. 2023

IEEE Commun. Surv. Tutorials

263

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show abstract

“…Furthermore, a novel 5G-based industrial IoT architecture for smart manufacturing is proposed. In [146] authors have taken an industrial robotic arm as a use case and have performed an analysis of simulated robot with the effects of simulated network for CPPS. The key contribution of the study is the comparison and analysis of effects of using different kinds of network types in a Gazebo simulated robot.…”

Section: Digital Twin: Use Cases and Servicesmentioning

confidence: 99%

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Mihai

Yaqoob

Hưng

et al. 2022

IEEE Commun. Surv. Tutorials

220

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“…2) Emergence of Edge-based Digital Twins: CDTs have certain inherent limitations of cloud architecture for stringent time-critical industrial communications, e.g., high round-trip time (RTT) with regular periodic data updates and end-toend (E2E) latencies to the cloud [102]. Similarly, factory machines' reliability factor can drastically reduce with the outdated decisions for the critical sporadic events happening at the factory floor [103].…”

Section: ) Cloud-based Digital Twinsmentioning

confidence: 99%

Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey

Zeb¹,

Mahmood²,

Hassan³

et al. 2021

Preprint

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By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyberphysical worlds through cyber-physical systems (CPS) and digital twin (DT) for monitoring, optimization, and prognostics of industrial processes. A DT is an emerging but conceptually different construct than CPS. Like CPS, DT relies on communication to create a highly-consistent, synchronized digital mirror image of the objects or physical processes. DT, in addition, uses builtin models on this precise image to simulate, analyze, predict, and optimize their real-time operation using feedback. DT is rapidly diffusing in the industries with recent advances in the industrial Internet of things (IIoT), edge and cloud computing, machine learning, artificial intelligence, and advanced data analytics. However, the existing literature lacks in identifying and discussing the role and requirements of these technologies in DT-enabled industries from the communication and computing perspective. In this article, we first present the functional aspects, appeal, and innovative use of DT in smart industries. Then, we elaborate on this perspective by systematically reviewing and reflecting on recent research in next-generation (NextG) wireless technologies (e.g., 5G and beyond networks), various tools (e.g., age of information, federated learning, data analytics), and other promising trends in networked computing (e.g., edge and cloud computing). Moreover, we discuss the DT deployment strategies at different industrial communication layers to meet the monitoring and control requirements of industrial applications. We also outline several key reflections and future research challenges and directions to facilitate industrial DT's adoption.

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Digital Twin: Network Provisioning of Mission Critical Communication in Cyber Physical Production Systems

Cited by 15 publications

References 10 publications

On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey

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