You are not logged in.
Openly accessible

Filtering redundant data from RFID data streams

Kamaludin, Hazalila, Mahdin, Hairulnizam and Abawajy, Jemal H. 2016, Filtering redundant data from RFID data streams, Journal of sensors, vol. 2016, pp. 1-7, doi: 10.1155/2016/7107914.

Attached Files
Name Description MIMEType Size Downloads
abawajy-filteringredundant-2016.pdf Published version application/pdf 1.06MB 1

Title Filtering redundant data from RFID data streams
Author(s) Kamaludin, Hazalila
Mahdin, Hairulnizam
Abawajy, Jemal H.
Journal name Journal of sensors
Volume number 2016
Article ID 7107914
Start page 1
End page 7
Total pages 7
Publisher Hindawi Publishing Corporation
Place of publication Cairo, Egypt
Publication date 2016
ISSN 1687-7268
Summary Radio Frequency Identification (RFID) enabled systems are evolving in many applications that need to know the physical location of objects such as supply chain management. Naturally, RFID systems create large volumes of duplicate data. As the duplicate data wastes communication, processing, and storage resources as well as delaying decision-making, filtering duplicate data from RFID data stream is an important and challenging problem. Existing Bloom Filter-based approaches for filtering duplicate RFID data streams are complex and slow as they use multiple hash functions. In this paper, we propose an approach for filtering duplicate data from RFID data streams. The proposed approach is based on modified Bloom Filter and uses only a single hash function. We performed extensive empirical study of the proposed approach and compared it against the Bloom Filter, d-Left Time Bloom Filter, and the Count Bloom Filter approaches. The results show that the proposed approach outperforms the baseline approaches in terms of false positive rate, execution time, and true positive rate.
Language eng
DOI 10.1155/2016/7107914
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085242

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
Connect to link resolver
 
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
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 71 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 04 Aug 2016, 13:33:57 EST

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.