T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities

Ak, Elif; Duran, Kübra; Dobre, Octavia A.; Duong, Trung Q.; Canberk, Berk

Abstract

An efficient serving of predictive management and what-if-analysis of smart cities is the only way to achieve a net-zero waste target. With the aid of the enhanced learning capabilities of digital twin, net-zero aims of smart cities can be obtained with highly accurate results in the prediction of waste-to-energy and candidate truck paths. However, there is no unified communication model yet for a digital twin to maintain complete data and control flow in a fully synchronized way. Without having a clear communication model for the digital twin, the interaction between the physical and digital replica cannot be sustained. To handle this, we propose a digital twin networking framework called T6CONF, based on an IPv6 infrastructure, to solve the end-to-end two-way communication and synchronization problem of the resource-constrained Internet of Things networks. Besides, T6CONF serves two specific net-zero waste services, waste-to-energy and planned-truck-routing prediction services, for the net-zero goal. We evaluate the proposed digital twin communication model with changing fidelity levels over the twinning rate and round-trip time. Additionally, we prove that the proposed T6CONF model increases the accuracy of service layer operations.

Citation

Ak, E., Duran, K., Dobre, O. A., Duong, T. Q., & Canberk, B. (2023). T6CONF: Digital Twin Networking Framework for IPv6-Enabled Net-Zero Smart Cities. IEEE Communications Magazine, 61(3), 36-42. https://doi.org/10.1109/mcom.003.2200315

• Journal Article Type: Article
• Online Publication Date: Jan 16, 2023
• Publication Date: 2023-03
• Deposit Date: Apr 17, 2023
• Electronic ISSN: 1558-1896
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 61
• Issue: 3
• Pages: 36-42
• DOI: https://doi.org/10.1109/mcom.003.2200315
• Keywords: Synchronization, Internet of Things, Digital twins, Data models, Protocols, Smart cities