In terms of enhanced sensitivity, size considerations, and resistance towards electromagnetic interferences, Optical Fiber Sensors (OFS) possess great potential and can be an effective alternative to traditional electronic sensors. The OFS application can be found in various fields such as oil and gas, refineries, biomedical applications, energy infrastructures, etc. The following paper presents an overview of Optical Fiber Sensor-based Network Technologies (OFSNT), primarily targeting various multiplexing techniques (time-division, wavelength-division, frequency-division, and spatial-frequency multiplexing), and myriad networking topologies such as multipoint, distributed, or single point. Following the architectural differences, various effects of area distances and subsequent optimization leading to enhanced precision and localization have also been presented. OFSNT application is also represented by presenting and showcasing their effective and real-time application in farming, civil, railway, and other key areas. The following concludes with discussing possible diversification in the field of AI, IoT/6G, edge computing, and practical concerns related to structure complexity and interrogator cost. The paper concludes that OFSNT represents a promising foundation for intelligent, scalable, and resilient next-generation sensing networks.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Toward Next-Generation Sensing: Optical Fiber Sensor-Based Network Technologies (OFSNT)

  • Manish Mishra,
  • Yashu Swami

摘要

In terms of enhanced sensitivity, size considerations, and resistance towards electromagnetic interferences, Optical Fiber Sensors (OFS) possess great potential and can be an effective alternative to traditional electronic sensors. The OFS application can be found in various fields such as oil and gas, refineries, biomedical applications, energy infrastructures, etc. The following paper presents an overview of Optical Fiber Sensor-based Network Technologies (OFSNT), primarily targeting various multiplexing techniques (time-division, wavelength-division, frequency-division, and spatial-frequency multiplexing), and myriad networking topologies such as multipoint, distributed, or single point. Following the architectural differences, various effects of area distances and subsequent optimization leading to enhanced precision and localization have also been presented. OFSNT application is also represented by presenting and showcasing their effective and real-time application in farming, civil, railway, and other key areas. The following concludes with discussing possible diversification in the field of AI, IoT/6G, edge computing, and practical concerns related to structure complexity and interrogator cost. The paper concludes that OFSNT represents a promising foundation for intelligent, scalable, and resilient next-generation sensing networks.