BendSense-RFID: Fiber-paring Managing & On-port Power Detecting in Large-scale Optical Networks

Xiaoying Zheng, Haojun Ge, Xingqi Xuan, Yizhi Xia, Shengmao Yang, Ian Pratt, Shilie Zheng, Xiaonan Hui, Xianmin Zhang

Research output: Journal PublicationArticlepeer-review

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(n), 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.

Original languageEnglish
JournalIEEE Internet of Things Journal
DOIs
Publication statusAccepted/In press - 2025

Keywords

  • FTTH
  • large-scale optical networks
  • non-intrusive sensing
  • RFID

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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