Adaptive HoloTwin: A Lightweight Holographic Counterpart Framework for Real-Time Monitoring of Smart Home IoT Devices

초록

The rapid increase in IoT devices in smart homes has demanded the creation of urgent monitoring systems that are reliable, real-time, efficient, secure, and scalable. Conventional methods face issues such as high latency, communication overloading, and energy use, thus it is not very appropriate in limited resources environments. To address these limitations, this paper presents a new Lightweight Holographic Counterpart Integration framework intended to be used in the monitoring of smart home IoT devices in real-time. It adopted an adaptive critical sensor signal importance-weighting scheme, dynamic time synchronization of vital sensor signals to reduce unnecessary updates and a fault-detecting scheme based on residues. It also does cross-device correlation analysis to learn the dependencies in the system and support maintenance. Experimental results show that the latency and energy consumption is reduced and improve anomaly detection. Its benefits in the reliability of the device, its energy consumption, and the confidence of users are presented in case studies. This study is a fusion of digital twin theory and consumer IoT applications, with the aim of being sustainable, intelligent, and resilient smart homes.

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