An approach for removing redundant data from RFID data streams Mahdin, Hairulnizam and Abawajy, Jemal 2011, An approach for removing redundant data from RFID data streams, Sensors, vol. 11, no. 10, pp. 9863-9877. Attached Files Name Description MIMEType Size Downloads mahdin-anapproachforremoving-2011.pdf Published version application/pdf 2.06MB 258 Title An approach for removing redundant data from RFID data streams Author(s) Mahdin, Hairulnizam Abawajy, Jemal orcid.org/0000-0001-8962-1222 Journal name Sensors Volume number 11 Issue number 10 Start page 9863 End page 9877 Total pages 15 Publisher Molecular Diversity Preservation International (M D P I) AG. Place of publication Lausanne, Switzerland Publication date 2011 ISSN 1424-8239 1424-8220 Keyword(s) automatic identifications data filtering duplicate reading RFID Summary 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. Language eng Field of Research 080501 Distributed and Grid Systems Socio Economic Objective 890103 Mobile Data Networks and Services HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2011, Molecular Diversity Preservation International (M D P I) AG. Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30044134 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 05 Apr 2012, 15:51:37 EST Thu, 03 May 2012, 15:56:59 EST Thu, 03 May 2012, 15:57:50 EST Mon, 17 Jun 2013, 17:33:56 EST Thu, 01 Aug 2013, 15:22:20 EST Fri, 13 Jun 2014, 13:30:57 EST Tue, 06 Sep 2016, 18:36:40 EST Tue, 05 Dec 2017, 12:30:47 EST Fri, 07 Sep 2018, 15:50:11 EST Filtered Full Citation counts:   Cited 19 times in TR Web of Science Cited 32 times in Scopus Search Google Scholar Access Statistics: 715 Abstract Views, 258 File Downloads  -  Detailed Statistics Created: Thu, 05 Apr 2012, 15:51:37 EST