title: An approach for removing redundant data from RFID data streams.
abstract: 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.
authors.affiliation: Faculty of Computer Science and Information Technology, University of Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor 86400, Malaysia. hairuln@uthm.edu.my
authors.forename: Hairulnizam
authors.initials: H
authors.lastname: Mahdin
authors.forename: Jemal
authors.initials: J
authors.lastname: Abawajy
mesh_terms: D000465:Algorithms; D003628:Database Management Systems; D057233:Radio Frequency Identification Device / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*; D013997:Time Factors