Edinburgh Napier University

  Digital Twins (DTs) have become indispensable in 6G for intelligent applications with real-time monitoring, modelling, and optimization. However, validating them in real-world conditions using IoT integration remained a significant challenge. Due to specialized designs, current implementations often lack reusability, which prevents integration. Here, data streams have to be formed while managing the diverse IoT data sources, formats, and volumes. However, interoperating these requires extensive manual programming. Considering these challenges, this paper proposes the Scenario Emulated IoT-DT architecture that defines the layers of Data, Ingestion, and DT. Here, the Scenario Emulator can form and integrate the data streams with the different intelligent applications. Within this, we use graph-encoding in Device and Data Schema Registry to define specifications. With this, we can embed the required information for interoperability and integration. Moreover, this approach supports scalability thanks to the fast lookup capability of graphs as the number of objects increases. Using the proposed architecture, we implement the use case of smart building management and test it in different scenarios. The results show that the proposed architecture can effectively operate with up to 74.7 % line-of-code improvement and querying latency reduction.