Reinforcement Learning Technique for Self-Healing FBG Sensor Systems in Optical Wireless Communication Networks

This paper proposes a large-scale, self-healing multipoint fiber Bragg grating (FBG) sensor network that employs reinforcement learning (RL) techniques to enhance the resilience and efficiency of optical wireless communication networks. The system features a mesh-structured, self-healing ring-mesh a...

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Autors principals:	Rénauld A. Dellimore, Jyun-Wei Li, Hung-Wei Huang, Amare Mulatie Dehnaw, Cheng-Kai Yao, Pei-Chung Liu, Peng-Chun Peng
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-01-01
Col·lecció:	Applied Sciences
Matèries:	sensor network fiber Bragg grating self-healing ring-mesh structures artificial intelligence deep learning reinforcement learning
Accés en línia:	https://www.mdpi.com/2076-3417/16/2/1012
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