title: Behavior-based cleaning for unreliable RFID data sets.
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.
authors.affiliation: School of Computer Science, National University of Defense Technology, Changsha 410073, China. huafan@nudt.edu.cn
authors.forename: Hua
authors.initials: H
authors.lastname: Fan
authors.forename: Quanyuan
authors.initials: Q
authors.lastname: Wu
authors.forename: Yisong
authors.initials: Y
authors.lastname: Lin
mesh_terms: D001696:Biomechanical Phenomena; D003198:Computer Simulation; D016208:Databases, Factual; D006801:Humans; D008962:Models, Theoretical; D009068:Movement; D057233:Radio Frequency Identification Device / Q000379:methods*; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted
keywords: RFID technology; data cleaning; kinematic characteristics; miss reading; movement behavior