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A Silicon-tipped Fiber-optic Sensing Platform with High Resolution and Fast Response
Published on: January 7, 2019
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Fuzzy Logic System Assisted Sensing Resource Allocation for Optical Fiber Sensing and Communication Integrated
1School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China.
Sensors (Basel, Switzerland)
|October 27, 2022
Summary
Optimizing sensing resource allocation in integrated fiber-optic networks significantly reduces failure probability. Non-uniform allocation enhances network robustness and security for improved information transmission.
Area of Science:
- Optical Engineering
- Network Security
- Telecommunications
Background:
- Increasing demand for state monitoring in fiber-optic communication networks for enhanced security and self-healing.
- Distributed optical fiber sensing offers real-time network detection without extra sensing heads.
Purpose of the Study:
- To investigate the impact of sensing resource allocation on optical cable network quality.
- To suppress failure probability in integrated sensing and communication networks with limited resources.
Main Methods:
- Utilized a fuzzy logic system to evaluate sensing resource allocation strategies.
- Simulated and analyzed link and path failure probabilities for uniform and non-uniform resource allocation.
Main Results:
- Non-uniform sensing resource allocation demonstrated significantly lower failure probabilities compared to uniform allocation.
- Analysis confirmed the effectiveness of non-uniform strategies in improving network quality.
Conclusions:
- This study addresses, for the first time, the allocation of limited sensing resources in optical fiber sensing and communication integrated (OFSCI) networks.
- The findings provide a basis for developing robust allocation strategies for OFSCI networks.
