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RFID unreliable data filtering by integrating adaptive sliding window and Euclidean distance AITranslate

LiLan Liu; ZiLong Yuan; XueWei Liu; Cheng Chen; KeSheng Wang
Shanghai University; Shanghai University; Shanghai University; Shanghai University; Norwegian University of Science and Technology
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Publisher: Springer Nature
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Abstract AITranslate

Through improving the redundant data filtering of unreliable data filter for radio frequency identification (RFID) with sliding-window, a data filter which integrates self-adaptive sliding-window and Euclidean distance is proposed. The input data required being filtered have been shunt by considering a large number of redundant data existing in the unreliable data for RFID and the redundant data in RFID are the main filtering object with utilizing the filter based on Euclidean distance. The comparison between the results from the method proposed in this paper and previous research shows that it can improve the accuracy of the RFID for unreliable data filtering and largely reduce the redundant reading rate.

KeyWords AITranslate

Radio frequency identification (RFID) Adaptive sliding window Euclidean distance Redundant data
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Basic Information:

DOI：https://doi.org/10.1007/s40436-014-0080-3

Chinese Library Classification Number:

Citation Information:

Through improving the redundant data filtering of unreliable data filter for radio frequency identification (RFID) with sliding-window, a data filter which integrates self-adaptive sliding-window and Euclidean distance is proposed. The input data required being filtered have been shunt by considering a large number of redundant data existing in the unreliable data for RFID and the redundant data in RFID are the main filtering object with utilizing the filter based on Euclidean distance. The comparison between the results from the method proposed in this paper and previous research shows that it can improve the accuracy of the RFID for unreliable data filtering and largely reduce the redundant reading rate.

quote

GB/T 7714-2015 [1] LiLan Liu, ZiLong Yuan, XueWei Liu, et al. Advances in Manufacturing, 2014(2). DOI:10.1007/s40436-014-0080-3.
MLA [1] LiLan Liu, et al., Advances in Manufacturing, no. 2, 2014, https://doi.org/10.1007/s40436-014-0080-3.
APA [1] LiLan Liu, ZiLong Yuan, XueWei Liu, Cheng Chen, & KeSheng Wang. (2014). Advances in Manufacturing(2). https://doi.org/10.1007/s40436-014-0080-3
IEEE [1] LiLan Liu, ZiLong Yuan, XueWei Liu, Cheng Chen, and KeSheng Wang, Advances in Manufacturing, no. 2, 2014, doi: 10.1007/s40436-014-0080-3. keywords: {Radio frequency identification (RFID);Adaptive sliding window;Euclidean distance;Redundant data}