Sensors 2012, 12(8), 10196-10207; doi:10.3390/s120810196
Article

Behavior-Based Cleaning for Unreliable RFID Data Sets

1,* email, 1email and 2email
Received: 11 June 2012; in revised form: 11 July 2012 / Accepted: 21 July 2012 / Published: 30 July 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Radio Frequency IDentification (RFID) technology promises to revolutionize the way we track items and assets, but in RFID systems, missreading is a common phenomenon and it poses an enormous challenge to RFID data management, so accurate data cleaning becomes an essential task for the successful deployment of systems. In this paper, we present the design and development of a RFID data cleaning system, the first declarative, behavior-based unreliable RFID data smoothing system. We take advantage of kinematic characteristics of tags to assist in RFID data cleaning. In order to establish the conversion relationship between RFID data and kinematic parameters of the tags, we propose a movement behavior detection model. Moreover, a Reverse Order Filling Mechanism is proposed to ensure a more complete access to get the movement behavior characteristics of tag. Finally, we validate our solution with a common RFID application and demonstrate the advantages of our approach through extensive simulations.
Keywords: RFID technology; miss reading; data cleaning; movement behavior; kinematic characteristics
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MDPI and ACS Style

Fan, H.; Wu, Q.; Lin, Y. Behavior-Based Cleaning for Unreliable RFID Data Sets. Sensors 2012, 12, 10196-10207.

AMA Style

Fan H, Wu Q, Lin Y. Behavior-Based Cleaning for Unreliable RFID Data Sets. Sensors. 2012; 12(8):10196-10207.

Chicago/Turabian Style

Fan, Hua; Wu, Quanyuan; Lin, Yisong. 2012. "Behavior-Based Cleaning for Unreliable RFID Data Sets." Sensors 12, no. 8: 10196-10207.

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