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

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

研究成果: Conference article

摘要

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.

原文English
文章編號6618589
期刊International Symposium on Wireless Personal Multimedia Communications, WPMC
出版狀態Published - 2013 十一月 18
事件2013 16th International Symposium on Wireless Personal Multimedia Communications, WPMC 2013 - Co-located with Global Wireless Summit 2013 - Atlantic City, NJ, United States
持續時間: 2013 六月 242013 六月 27

指紋

Radio frequency identification (RFID)
Time measurement
Interpolation

All Science Journal Classification (ASJC) codes

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

引用此文

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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.",
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AU - Deng, Der-Jiunn

AU - Lin, Chun Cheng

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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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