NDLI: An adaptive data cleaning scheme for reducing false negative reads in RFID data streams

Content Provider	IEEE Xplore Digital Library
Author	Massawe, L.V. Vermaak, H. Kinyua, J.D.M.
Copyright Year	2012
Description	Author affiliation: School Electrical and Computer Engineering, Central University of Technology, Bloemfontein 9301, South Africa (Massawe, L.V.; Vermaak, H.) \|\| Department of Information Technology, University of Northern Virginia, Annandale, VA 22003, USA (Kinyua, J.D.M.)
Abstract	Due to the high sensitivity of RFID tag-reader performance to the operating environment, RFID data streams generated are unreliable and contain a significant amount of missed readings. RFID data cleaning is therefore an essential task for successful deployment of RFID systems. One of the common techniques used by RFID middleware systems to compensate for the missed readings is the use of sliding-window filters. However, setting an optimum window size is non-trivial task especially in mobile tag environments. In this paper we present a new adaptive data cleaning scheme called WSTD based on some of the concepts proposed in SMURF but with an improved transition detection mechanism. WSTD uses the comparison of the two window subrange observations or estimated tag counts to detect when transitions occur within a window. In the mobile environment, our experimental results show that the WSTD scheme performs better than SMURF producing an improvement of about 30% less overall errors than that produced by SMURF
Starting Page	157
Ending Page	164
File Size	263074
Page Count	8
File Format	PDF
ISBN	9781467303293
e-ISBN	9781467303286
DOI	10.1109/RFID.2012.6193044
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	data filtering sliding window filter Smoothing methods Heuristic algorithms WSTD Mobile communication RFID Cleaning RFID Middleware Middleware Aggregates data cleaning SMURF Radiofrequency identification
Content Type	Text
Resource Type	Article

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