Run-time estimation of the number of un-identified tags in RFID systems

Hui Hsin Chin, Der-Jiunn Deng, Chun Cheng Lin

Research output: Contribution to journalConference article

Abstract

Performance of the dynamic framed slotted aloha (DFSA) based Radio Frequency Identification (RFID) system greatly depend on an accurate estimation of the number of unidentified tags. In this paper, we show that the number of unidentified tags can be express as a function of the collision rate experienced when a RFID reader collects tags' Unique ID (UID), and then we develop a linear interpolation algorithm to estimate the number of un-identified tags on run-time measurements. Simulation results show that our approach has high accurate rate and is adaptive to the current channel status.

Original languageEnglish
Article number6618589
JournalInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Publication statusPublished - 2013 Nov 18
Event2013 16th International Symposium on Wireless Personal Multimedia Communications, WPMC 2013 - Co-located with Global Wireless Summit 2013 - Atlantic City, NJ, United States
Duration: 2013 Jun 242013 Jun 27

Fingerprint

Radio frequency identification (RFID)
Time measurement
Interpolation

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

Cite this

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Run-time estimation of the number of un-identified tags in RFID systems. / Chin, Hui Hsin; Deng, Der-Jiunn; Lin, Chun Cheng.

In: International Symposium on Wireless Personal Multimedia Communications, WPMC, 18.11.2013.

Research output: Contribution to journalConference article

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AU - Deng, Der-Jiunn

AU - Lin, Chun Cheng

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Y1 - 2013/11/18

N2 - Performance of the dynamic framed slotted aloha (DFSA) based Radio Frequency Identification (RFID) system greatly depend on an accurate estimation of the number of unidentified tags. In this paper, we show that the number of unidentified tags can be express as a function of the collision rate experienced when a RFID reader collects tags' Unique ID (UID), and then we develop a linear interpolation algorithm to estimate the number of un-identified tags on run-time measurements. Simulation results show that our approach has high accurate rate and is adaptive to the current channel status.

AB - Performance of the dynamic framed slotted aloha (DFSA) based Radio Frequency Identification (RFID) system greatly depend on an accurate estimation of the number of unidentified tags. In this paper, we show that the number of unidentified tags can be express as a function of the collision rate experienced when a RFID reader collects tags' Unique ID (UID), and then we develop a linear interpolation algorithm to estimate the number of un-identified tags on run-time measurements. Simulation results show that our approach has high accurate rate and is adaptive to the current channel status.

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