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- W4308147514 abstract "• Designed a reliable self-healing communication integrated with a sensor network for the function of fault protection . • Design a cost-effective and flexible network, and increase the coverage of transmission distance. • Designed communication integrated with a sensor network for simultaneous transmission of communication and sensing signals. • Proposed machine learning algorithm to predict the wavelength of sensors. In this paper, we proposed a novel self-healing fiber/free-space optics (FSO) communication integrated with a sensor network for simultaneous transmission of optical communication signal and sensing signal as well as a function of fault protection by using a coarse wavelength-division multiplexer (CWDM). The combination of CWDM and fiber integrated with FSO transmission channel is incorporated to design a cost-effective, flexible network and increase the coverage of transmission distance. The experiment result proves that the fiber integrated with an FSO transmission channel achieves a clear constellation diagram and best error vector magnitude (EVM) value. On the other hand, the scanning-laser interrogation system is used for data acquisition in the strain-based fiber Bragg grating (FBG) sensor system. Moreover, the radial basis function neural network (RBFNN) algorithm is used to estimate the central wavelength of FBGs." @default.
- W4308147514 created "2022-11-08" @default.
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- W4308147514 date "2022-12-01" @default.
- W4308147514 modified "2023-10-14" @default.
- W4308147514 title "Self-healing integration of fiber/FSO communication and sensor network for improving survivability" @default.
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- W4308147514 doi "https://doi.org/10.1016/j.yofte.2022.103090" @default.
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