1. Self-healing integration of fiber/FSO communication and sensor network for improving survivability.
- Author
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Hayle, Stotaw Talbachew, Manie, Yibeltal Chanie, Yao, Cheng-Kai, Du, Li-Yuan, Yen, Chih-Yu, Fan, Ting-Po, and Peng, Peng-Chun
- Subjects
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FREE-space optical technology , *TELECOMMUNICATION systems , *SENSOR networks , *OPTICAL communications , *FIBER Bragg gratings , *MACHINE learning , *RADIAL basis functions - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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