Digital Twin Network: System, Protocol and Security - Tom H. Luan

This book presents unique insights and cutting-edge research on the digital twin (DT)-powered smart city system based on the authors’ previous research. The contributing authors explore the specific challenges associated with this system and offer innovative perspectives.

This book systematically evaluates key technologies for DT collaboration in smart cities, focusing on data synchronization within DTs and data collaboration between DTs. DT technology refers to the process of digitizing and mapping physical entities in a smart city to virtual models in the digital realm. These DT entities integrate cloud computing resources and data, utilizing artificial intelligence (AI) techniques to analyze and comprehend the operational patterns of the city in the virtual space. They create cross-modal learning and knowledge graphs by integrating data with different attributes. As a result, DT enables accurate analysis, systematic prediction, joint command, and scenario-based services for the modelled physical entities. In this sense, DT entities can be seen as “intelligent software agents” operating in the cloud, integrating data, and AI. Different DT can achieve data sharing and collective intelligence through collaborative networking, enabling the collaboration of the entire city entity, which is known as integrated city operations.

This book emphasizes the vital role of DT technology in real-time analysis, accurate prediction, and collaborative command within smart city construction. The contributing authors address the main challenges of building AI-powered smart cities with a core of digital twin intelligent agents. This book will be valuable for readers interested in developing effective systems based on digital twins. Additionally, it will benefit those seeking to gain insights into how digital twin technology is transforming our lives by presenting innovative ideas and insightful visions.