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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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Performance comparison.
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f7-sensors-12-10196: Performance comparison.

Mentions: To verify the validity and necessity of Reverse Order Filling Mechanism, we design the following experiment. We focus on readings produced from a single tag with different missing rates from 10% to 80% in 10,000 epochs. We process 8 sets of data by two different methods, the Reverse Order Filling Mechanism method and the Twice Scanning Method, and determine their performance by comparing the response times. As show in Figure 7, the Reverse Order Filling Mechanism only needs a twice cleaning process to the corresponding data while the Twice Scanning Method needs the process to all data. Therefore, the former is obviously superior to the latter in the efficiency of processing data.


Behavior-based cleaning for unreliable RFID data sets.

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

Performance comparison.
© Copyright Policy
Related In: Results  -  Collection

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

f7-sensors-12-10196: Performance comparison.
Mentions: To verify the validity and necessity of Reverse Order Filling Mechanism, we design the following experiment. We focus on readings produced from a single tag with different missing rates from 10% to 80% in 10,000 epochs. We process 8 sets of data by two different methods, the Reverse Order Filling Mechanism method and the Twice Scanning Method, and determine their performance by comparing the response times. As show in Figure 7, the Reverse Order Filling Mechanism only needs a twice cleaning process to the corresponding data while the Twice Scanning Method needs the process to all data. Therefore, the former is obviously superior to the latter in the efficiency of processing data.

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