Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach

Unreliability of the data streams generated by RFID readers is among the primary factors which limit the widespread adoption of the RFID technology. RFID data cleaning is, therefore, an essential task in the RFID middleware systems in order to reduce reading errors, and to allow these data streams t...

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Main Authors: Herman Vermaak, Johnson D. M. Kinyua, Libe Valentine Massawe
Format: Article
Language:English
Published: MDPI AG 2012-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/12/4/4187/
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author Herman Vermaak
Johnson D. M. Kinyua
Libe Valentine Massawe
author_facet Herman Vermaak
Johnson D. M. Kinyua
Libe Valentine Massawe
author_sort Herman Vermaak
collection DOAJ
description Unreliability of the data streams generated by RFID readers is among the primary factors which limit the widespread adoption of the RFID technology. RFID data cleaning is, therefore, an essential task in the RFID middleware systems in order to reduce reading errors, and to allow these data streams to be used to make a correct interpretation and analysis of the physical world they are representing. In this paper we propose an adaptive sliding-window based approach called WSTD which is capable of efficiently coping with both environmental variation and tag dynamics. Our experimental results demonstrate the efficacy of the proposed approach.
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spelling doaj.art-0387250b701b40fa8f8082f008e54fc62022-12-22T01:56:56ZengMDPI AGSensors1424-82202012-03-011244187421210.3390/s120404187Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window ApproachHerman VermaakJohnson D. M. KinyuaLibe Valentine MassaweUnreliability of the data streams generated by RFID readers is among the primary factors which limit the widespread adoption of the RFID technology. RFID data cleaning is, therefore, an essential task in the RFID middleware systems in order to reduce reading errors, and to allow these data streams to be used to make a correct interpretation and analysis of the physical world they are representing. In this paper we propose an adaptive sliding-window based approach called WSTD which is capable of efficiently coping with both environmental variation and tag dynamics. Our experimental results demonstrate the efficacy of the proposed approach.http://www.mdpi.com/1424-8220/12/4/4187/data filteringdata cleaningRFIDRFID middlewaresliding-window filter
spellingShingle Herman Vermaak
Johnson D. M. Kinyua
Libe Valentine Massawe
Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
Sensors
data filtering
data cleaning
RFID
RFID middleware
sliding-window filter
title Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
title_full Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
title_fullStr Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
title_full_unstemmed Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
title_short Reducing False Negative Reads in RFID Data Streams Using an Adaptive Sliding-Window Approach
title_sort reducing false negative reads in rfid data streams using an adaptive sliding window approach
topic data filtering
data cleaning
RFID
RFID middleware
sliding-window filter
url http://www.mdpi.com/1424-8220/12/4/4187/
work_keys_str_mv AT hermanvermaak reducingfalsenegativereadsinrfiddatastreamsusinganadaptiveslidingwindowapproach
AT johnsondmkinyua reducingfalsenegativereadsinrfiddatastreamsusinganadaptiveslidingwindowapproach
AT libevalentinemassawe reducingfalsenegativereadsinrfiddatastreamsusinganadaptiveslidingwindowapproach