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Sensors 2011, 11(10), 9863-9877; doi:10.3390/s111009863

An Approach for Removing Redundant Data from RFID Data Streams

Faculty of Computer Science and Information Technology, University of Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor 86400, Malaysia
School of Information Technology, Deakin University, Waurn Ponds, Victoria 3216, Australia
Author to whom correspondence should be addressed.
Received: 26 August 2011 / Revised: 9 October 2011 / Accepted: 17 October 2011 / Published: 20 October 2011
(This article belongs to the Special Issue Selected Papers from FGIT 2010)
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Radio frequency identification (RFID) systems are emerging as the primary object identification mechanism, especially in supply chain management. However, RFID naturally generates a large amount of duplicate readings. Removing these duplicates from the RFID data stream is paramount as it does not contribute new information to the system and wastes system resources. Existing approaches to deal with this problem cannot fulfill the real time demands to process the massive RFID data stream. We propose a data filtering approach that efficiently detects and removes duplicate readings from RFID data streams. Experimental results show that the proposed approach offers a significant improvement as compared to the existing approaches.
Keywords: RFID; duplicate reading; automatic identifications; data filtering RFID; duplicate reading; automatic identifications; data filtering
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Mahdin, H.; Abawajy, J. An Approach for Removing Redundant Data from RFID Data Streams. Sensors 2011, 11, 9863-9877.

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