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Robustness Analysis Based on Optical Fiber Sensor Networks Topology

机译:基于光纤传感器网络拓扑的鲁棒性分析

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Although optical fiber sensor networks (OFSNs) attract more and more attentions, they are still facing the problem of lacking the methods for assessing network robustness quantitatively. This paper improves the recently presented OFSNs robustness evaluation model by proposing the robustness error assessment based on Monte Carlo method. Robustness simulations of several network topologies, including line, ring, star, bus, and double ring topologies, have been done with the model, proving that the concentric double ring topology proposed by Fernandez-Vallejo is more robust than the other four topologies. Parameters required for robustness calculation in ring topology are listed in detail. Then, an experimental robustness assessment approach is established. According to it, eight-point fiber Bragg grating sensor networks with the four basic topologies are employed. Support vector machine is applied to process data. Both threshold and attenuation coefficient have been gotten from experiments. Comparison between experimental and simulative robustness verifies the practicability of the robustness evaluation method, and also proves that ring and star topologies are better than the others, whereas bus topology is unfit for improving robustness by adding sensors.
机译:尽管光纤传感器网络(OFSN)吸引了越来越多的关注,但它们仍然面临着缺乏定量评估网络鲁棒性的方法的问题。通过提出基于蒙特卡洛方法的鲁棒性误差评估,对最近提出的OFSNs鲁棒性评估模型进行了改进。该模型对几种网络拓扑(包括线路,环形,星形,总线和双环拓扑)进行了鲁棒性仿真,证明Fernandez-Vallejo提出的同心双环拓扑比其他四种拓扑更健壮。详细列出了环形拓扑中的鲁棒性计算所需的参数。然后,建立了实验鲁棒性评估方法。据此,采用具有四种基本拓扑的八点光纤布拉格光栅传感器网络。支持向量机应用于过程数据。从实验中获得了阈值和衰减系数。实验和仿真鲁棒性的比较验证了鲁棒性评估方法的实用性,还证明了环形和星形拓扑优于其他拓扑,而总线拓扑不适合通过添加传感器来提高鲁棒性。

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