We explore state-of-polarization sensing as a promising candidate for large-scale deployments thanks to long-distance monitoring capabilities. We further discuss scalability aspects related to monitoring placement to reduce telemetry streams, hence lowering alarms redundancy and data storage requirements. We also benchmark AI-based event classification techniques.
Scaling Optical Fiber Networks for Environmental Sensing
Zhang, Qiaolun;Tornatore, Massimo;
2025-01-01
Abstract
We explore state-of-polarization sensing as a promising candidate for large-scale deployments thanks to long-distance monitoring capabilities. We further discuss scalability aspects related to monitoring placement to reduce telemetry streams, hence lowering alarms redundancy and data storage requirements. We also benchmark AI-based event classification techniques.File in questo prodotto:
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