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Behavior-based cleaning for unreliable RFID data sets.

Fan H, Wu Q, Lin Y - Sensors (Basel) (2012)

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science, National University of Defense Technology, Changsha 410073, China. huafan@nudt.edu.cn

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.

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Related in: MedlinePlus

Accuracy comparison under different tag speeds.
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f5-sensors-12-10196: Accuracy comparison under different tag speeds.

Mentions: We compare the accuracy of data filled by different methods under different tag speeds. The error rates obtained are used to compare the accuracy of methods where lower error rate means higher accuracy. As shown in Figure 5, the results of BBS are obviously superior to all other methods, especially when the speeds of tags are higher than 1.0 m/s.


Behavior-based cleaning for unreliable RFID data sets.

Fan H, Wu Q, Lin Y - Sensors (Basel) (2012)

Accuracy comparison under different tag speeds.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472823&req=5

f5-sensors-12-10196: Accuracy comparison under different tag speeds.
Mentions: We compare the accuracy of data filled by different methods under different tag speeds. The error rates obtained are used to compare the accuracy of methods where lower error rate means higher accuracy. As shown in Figure 5, the results of BBS are obviously superior to all other methods, especially when the speeds of tags are higher than 1.0 m/s.

Bottom Line: 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.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.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science, National University of Defense Technology, Changsha 410073, China. huafan@nudt.edu.cn

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.

Show MeSH
Related in: MedlinePlus