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

Abstract

An efficient serving of predictive management and what-if-analysis of smart cities is the only way to achieve a netzero waste target. With the aid of the enhanced learning capabilities of digital twin (DT), net-zero aims of smart cities can be obtained with highly accurate results in the prediction of wasteto- 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 endto- end two-way communication and the synchronization problem of the resource-constrained Internet of Things networks. Besides, T6CONF serves two specific net-zero waste services, such as 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.