Energy-Efficient Digital Twin Placement in Mobile Edge Computing

被引:1
|
作者
Wei, Lan [1 ]
Zhang, Haibin [1 ]
Zhang, Yadong [2 ]
Sun, Wen [2 ]
Zhang, Yan [3 ,4 ]
机构
[1] Xidian Univ, Sch Cyber Engn, Xian 710126, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Cybersecur, Xian 710126, Shaanxi, Peoples R China
[3] Univ Oslo, Oslo, Norway
[4] Simula Metropolitan Ctr Digital Engn, Oslo, Norway
来源
ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS | 2023年
关键词
mobile edge computing; digital twin placement; cooperative game;
D O I
10.1109/ICC45041.2023.10279715
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
As one of the key enabling technologies, mobile edge computing can considerably reduce system latency and realize ubiquitous computing. The digital twin can constantly learn and update from entities to characterize the working conditions of physical entities. The integration of digital twins with mobile edge computing provides possibility for efficient resource allocation issues in the networks. However, the vast number of connected devices, resource heterogeneity, and dynamic network states are still challenging for the application of digital twins in mobile edge computing. In this paper, we propose a digital twin-empowered mobile edge computing architecture and investigate the energy-efficient digital twin placement. To adapt to the service demands of mobile edge computing, we exploit the Shapley value of the cooperative game theory and develop a Shapley value-based digital twin placement scheme. Numerical results show the efficiency of the proposed scheme in terms of average latency, average communication consumption, and digital twin error.
引用
收藏
页码:2480 / 2485
页数:6
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