Self-Evolving Digital Twin Over Wireless Networks

di Jun Cai (Autore)

Jiayuan Chen (Autore)

Ruoyang Chen (Autore)

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Springer, 2026

This book focuses on the integration of self-evolving Digital Twins (DTs) with wireless networks, exploring critical methodologies for dynamic twin construction and real-time service interaction. It addresses challenges posed by wireless environments, which are paramount for maintaining high-fidelity virtual replicas of physical systems. The content provides a comprehensive outline for building and managing DTs that can continuously adapt over wireless networks. The authors dedicated this book to innovative solutions for optimizing resource allocation and intelligent decision-making. It includes game-theoretic online optimization for federated DT construction and generative artificial intelligence-aided framework for quality-of-experience driven DT service interaction. Furthermore, it shows the practical implementation of these technologies through detailed applications in intelligent vehicular networks. This book is appropriate for advanced-level students in computer science and electrical engineering, who are studying wireless communications, distributed systems, Internet of Things, and cyber-physical systems. Researchers and industry practitioners seeking to leverage DTs for innovation in smart manufacturing, intelligent transportation, and smart cities will find this book invaluable as well.

• Autore: Jun Cai, Jiayuan Chen, Ruoyang Chen
• Anno edizione: 2026
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9783032081209