BendSense-RFID: Fiber-Pairing Managing and On-Port Power Detecting in Large-Scale Optical Networks

In large-scale optical networks characterized by the explosive growth of optical fibers, the uninterrupted management and sensing of FTTH services present a considerable challenge. This paper proposes a passive radio frequency identification (RFID) sensor which can verify the fiber connection paring and detect on-port power level non-intrusively. The sensor collects macro-bending loss from the fiber connection ports for guided mode sensing. An NPN-type trans-impedance amplifier (NPN-TIA) is designed to reduce the sensor’s power consumption by 85.43% compared to the conventional operational amplifier circuits. Moreover, digital encoding exchange between sensors reduces algorithmic complexity to O(<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i>), enabling the system to identify 60 tag pairs within 1.5 seconds, even in high-density environments with up to 80 tags per square decimeter. Experimental validation in both laboratory and data center demonstrates the sensor’s efficacy in addressing fiber connection tracking and uninterrupted optical signal strength sensing challenges.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-09-25
DOI
https://doi.org/10.1109/jiot.2025.3614248
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

BendSense-RFID: Fiber-Pairing Managing and On-Port Power Detecting in Large-Scale Optical Networks

IEEE Internet of Things Journal
Air Quality and Health Impacts
article

BendSense-RFID: Fiber-Pairing Managing and On-Port Power Detecting in Large-Scale Optical Networks

article en

Abstract

In large-scale optical networks characterized by the explosive growth of optical fibers, the uninterrupted management and sensing of FTTH services present a considerable challenge. This paper proposes a passive radio frequency identification (RFID) sensor which can verify the fiber connection paring and detect on-port power level non-intrusively. The sensor collects macro-bending loss from the fiber connection ports for guided mode sensing. An NPN-type trans-impedance amplifier (NPN-TIA) is designed to reduce the sensor’s power consumption by 85.43% compared to the conventional operational amplifier circuits. Moreover, digital encoding exchange between sensors reduces algorithmic complexity to O(<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i>), enabling the system to identify 60 tag pairs within 1.5 seconds, even in high-density environments with up to 80 tags per square decimeter. Experimental validation in both laboratory and data center demonstrates the sensor’s efficacy in addressing fiber connection tracking and uninterrupted optical signal strength sensing challenges.

IEEE Internet of Things JournalVol. 12(23)
University of Nottingham Ningbo China (CN), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 42%
Air Quality and Health Impacts
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