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Article | Open Access

Efficient Digital Twin Placement for Blockchain-Empowered Wireless Computing Power Network

Wei WuLiang YuLiping Yang( )Yadong ZhangPeng Wang
School of Cybersecurity, Northwestern Polytechnical University, Xi’an, 710126, China
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Abstract

As an open network architecture, Wireless Computing Power Networks (WCPN) pose new challenges for achieving efficient and secure resource management in networks, because of issues such as insecure communication channels and untrusted device terminals. Blockchain, as a shared, immutable distributed ledger, provides a secure resource management solution for WCPN. However, integrating blockchain into WCPN faces challenges like device heterogeneity, monitoring communication states, and dynamic network nature. Whereas Digital Twins (DT) can accurately maintain digital models of physical entities through real-time data updates and self-learning, enabling continuous optimization of WCPN, improving synchronization performance, ensuring real-time accuracy, and supporting smooth operation of WCPN services. In this paper, we propose a DT for blockchain-empowered WCPN architecture that guarantees real-time data transmission between physical entities and digital models. We adopt an enumeration-based optimal placement algorithm (EOPA) and an improved simulated annealing-based near-optimal placement algorithm (ISAPA) to achieve minimum average DT synchronization latency under the constraint of DT error. Numerical results show that the proposed solution in this paper outperforms benchmarks in terms of average synchronization latency.

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Computers, Materials & Continua
Pages 587-603

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Cite this article:
Wu W, Yu L, Yang L, et al. Efficient Digital Twin Placement for Blockchain-Empowered Wireless Computing Power Network. Computers, Materials & Continua, 2024, 80(1): 587-603. https://doi.org/10.32604/cmc.2024.052655

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Received: 10 April 2024
Accepted: 15 May 2024
Published: 18 July 2024
© The Author 2024.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.