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

Advances in Manufacturing ›› 2014, Vol. 2 ›› Issue (2): 121-129.

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

Li-Lan Liu • Zi-Long Yuan • Xue-Wei Liu •Cheng Chen • Ke-Sheng Wang

1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200072, People’s Republic of China
2. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Norway

收稿日期:2014-01-28 修回日期:2014-05-14 出版日期:2014-06-28 发布日期:2014-06-05
通讯作者: e-mail: lancy@shu.edu.cn

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

Li-Lan Liu¹ • Zi-Long Yuan¹ • Xue-Wei Liu ¹•Cheng Chen ¹• Ke-Sheng Wang²

1. Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai University, Shanghai 200072, People’s Republic of China
2. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Norway

Received:2014-01-28 Revised:2014-05-14 Online:2014-06-28 Published:2014-06-05
Contact: e-mail: lancy@shu.edu.cn

摘要/Abstract

摘要： 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.

关键词: Radio frequency identification (RFID) , Adaptive sliding window, Euclidean distance , Redundant data

Abstract: 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.

Key words: Radio frequency identification (RFID) , Adaptive sliding window, Euclidean distance , Redundant data

Li-Lan Liu ? Zi-Long Yuan ? Xue-Wei Liu ?Cheng Chen ? Ke-Sheng Wang. RFID unreliable data filtering by integrating adaptive sliding window and Euclidean distance[J]. Advances in Manufacturing, 2014, 2(2): 121-129.

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[1]	Ke-Sheng Wang. Intelligent and integrated RFID (II-RFID) system for improving traceability in manufacturing[J]. Advances in Manufacturing, 2014, 2(2): 106-120.
[2]	Emrah Arica ? Daryl J. Powell. A framework for ICT-enabled real-time production planning and control[J]. Advances in Manufacturing, 2014, 2(2): 158-164.

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

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

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