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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.

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Title An approach for removing redundant data from RFID data streams
Author(s) Mahdin, Hairulnizam
Abawajy, Jemal
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.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044134

Document type: Journal Article
Collections: School of Information Technology
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