Advanced System Architectures for Next-Generation Digital Twin Networks Combining Edge Computing, Intelligent Analytics, and Connected IoT Infrastructures
Keywords:
Digital Twin, Edge Computing, Intelligent Analytics, Internet of ThingsAbstract
The rapid evolution of Industry 4.0 technologies has intensified the need for intelligent and scalable digital infrastructures capable of integrating cyber-physical systems, edge computing, artificial intelligence, and Internet of Things (IoT) ecosystems into unified operational frameworks. Digital twin technology has emerged as a transformative paradigm that enables real-time synchronization between physical entities and virtual models, thereby improving predictive analytics, autonomous decision-making, operational resilience, and industrial optimization. This research investigates advanced system architectures for next-generation digital twin networks by analyzing the integration of edge computing, intelligent analytics, and connected IoT infrastructures within distributed cyber-physical environments. The study synthesizes existing literature on digital twin frameworks, industrial communication systems, smart cities, anomaly detection, and AI-driven edge intelligence to identify architectural limitations and emerging research opportunities. A multi-layered architectural model is proposed to address challenges associated with scalability, latency, interoperability, data synchronization, and security in distributed digital twin ecosystems. The paper further evaluates the functional role of intelligent analytics and edge-enabled processing in enabling real-time digital replication and autonomous coordination. Findings indicate that decentralized edge-driven digital twin systems significantly improve response efficiency, data reliability, and operational adaptability across industrial and smart infrastructure domains. The research contributes a conceptual framework that supports future digital transformation initiatives by integrating intelligent sensing, edge orchestration, AI-assisted analytics, and IoT communication standards into resilient digital twin architectures.
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Copyright (c) 2026 Dr. Jone Vakacegu, Dr. Ana Rokomatu (Author)
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