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Reliability-Aware Scheduling for Digital Twin Accuracy

In Industrial IoT systems, digital twins rely on data from distributed sensors, but limited uplink resources require deciding which devices transmit. If the physical process changes after model training, twin accuracy may degrade. This paper studies how to schedule observation requests to keep the digital twin close to the true process.

Why it matters

The problem is relevant for maintaining digital twin fidelity in dynamic industrial environments.

Relevant to DT products

Original headline
Reliability-Aware Scheduling for Digital Twin Maintenance
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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