標題: On Number of Tags Estimation in RFID Systems
作者: Deng, Der-Jiunn
Lin, Chun-Cheng
Huang, Tzu-Hsun
Yen, Hsu-Chun
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Dynamic framed slotted ALOHA (DFSA);EPCglobal UHF Gen2;extended Kalman filter (EKF);radio-frequency identification (RFID);tag identification
公開日期: 1-Sep-2017
摘要: According to the latest version of the radio-frequency identification (RFID) standard, EPCglobal UHF Gen2, dynamic framed slotted ALOHA has been accepted and employed as the de facto collision resolution algorithm to share the channel usage when multiple tags respond to the reader's signal command simultaneously. However, the frame size in read cycle is usually far from optimal when the reader does not know the number of unidentified tags in its interrogation zone, and this will lead to several performance issues and technical limitations such as power consumption, longer reading time, and degraded system performance. In this paper, we show that the number of unidentified tags can be expressed as a function of the collision rate received by the reader when the reader collects tags' information, and then we use an extended Kalman filter-based tag number estimation algorithm to estimate the number of unidentified tags in an RFID system on run-time measurements. Simulation results show that our scheme provides much better accuracy than existing well-known approaches even in a fast-changing environment.
URI: http://dx.doi.org/10.1109/JSYST.2015.2466594
http://hdl.handle.net/11536/144195
ISSN: 1932-8184
DOI: 10.1109/JSYST.2015.2466594
期刊: IEEE SYSTEMS JOURNAL
Volume: 11
起始頁: 1395
結束頁: 1402
Appears in Collections:Articles