Title: A data filtering strategy using cluster architecture in radio frequency identification system

Authors: Chia-Ming Wu; Siang-Sheng Cheng; Ruay-Shiung Chang

Addresses: Department of Computer Science and Information Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., Shoufeng Hualien 97401, Taiwan ' Department of Computer Science and Information Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., Shoufeng Hualien 97401, Taiwan ' Department of Computer Science and Information Engineering, National Dong Hwa University, No. 1, Sec. 2, Da Hsueh Rd., Shoufeng Hualien 97401, Taiwan

Abstract: Radio Frequency Identification (RFID) readers use radio waves to interact with the tagged objects and continuously transfer the reading data to the middleware. Because of the high error reading rate, RFID readers generate a large amount of duplicate and inaccurate data. In this paper, we propose a filtering model to correct and clean RFID data generated by RFID readers. We group the readers in an RFID system into several clusters according to their deployed locations. In every cluster, the cluster header uses the readings generated by the readers in the cluster and other clusters to assist the data cleaning processing. Our filtering model can not only increase the accurate rate of the reading but also share the heavy work load of the middleware. The experimental results show that our approach is efficient and accurate.

Keywords: RFID; radio frequency identification; middleware; data filtering; data cleaning; clustering.

DOI: 10.1504/IJRFITA.2013.054662

International Journal of Radio Frequency Identification Technology and Applications, 2013 Vol.4 No.2, pp.149 - 161

Received: 08 Sep 2010
Accepted: 06 May 2011
Published online: 20 Sep 2014 *

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