The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Penapisan peristiwa RFID ialah isu penting dalam pengurusan data RFID. Teg acara bacaan daripada pembaca mempunyai beberapa masalah seperti tidak boleh dipercayai, redundansi dan gangguan bacaan teg. Peristiwa pendua membawa kepada kemerosotan prestasi sistem RFID dengan banjir maklumat tag yang serupa. Oleh itu, kertas kerja ini mencadangkan penapis peristiwa terkuantiti berasaskan logik kabur. Untuk mengurangkan bacaan teg pendua dan menyelesaikan kecerobohan bacaan teg, penapis menggunakan sistem logik kabur untuk mengawal ambang penapisan mengikut perubahan dalam keadaan pembaca. Bacaan teg berterusan ditukar kepada nilai diskret untuk penjanaan peristiwa oleh ambang penapisan. Dan, penapis menjana seberapa banyak peristiwa sebagai nilai diskret pada satu titik masa penjanaan peristiwa. Hasil percubaan membandingkan penapis yang dicadangkan dengan penapis peristiwa RFID sedia ada, seperti penapis peristiwa primitif dan penapis peristiwa pelicinan, mengesahkan keberkesanan dan kecekapan penapis peristiwa terkuantiti berasaskan logik kabur.
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Salinan
Sung Ho JANG, Hi Sung CHOUN, Heung Seok CHAE, Jong Sik LEE, "Fuzzy Logic-Based Quantized Event Filter for RFID Data Processing" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 11, pp. 3560-3568, November 2008, doi: 10.1093/ietcom/e91-b.11.3560.
Abstract: RFID event filtering is an important issue of RFID data management. Tag read events from readers have some problems like unreliability, redundancy, and disordering of tag readings. Duplicated events lead to performance degradation of RFID systems with a flood of similar tag information. Therefore, this paper proposes a fuzzy logic-based quantized event filter. In order to reduce duplicated tag readings and solve disordering of tag readings, the filter applies a fuzzy logic system to control a filtering threshold by the change in circumstances of readers. Continuous tag readings are converted into discrete values for event generation by the filtering threshold. And, the filter generates as many events as the discrete values at a point of event generation time. Experimental results comparing the proposed filter with existing RFID event filters, such as the primitive event filter and the smoothing event filter, verify effectiveness and efficiency of the fuzzy logic-based quantized event filter.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.11.3560/_p
Salinan
@ARTICLE{e91-b_11_3560,
author={Sung Ho JANG, Hi Sung CHOUN, Heung Seok CHAE, Jong Sik LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Fuzzy Logic-Based Quantized Event Filter for RFID Data Processing},
year={2008},
volume={E91-B},
number={11},
pages={3560-3568},
abstract={RFID event filtering is an important issue of RFID data management. Tag read events from readers have some problems like unreliability, redundancy, and disordering of tag readings. Duplicated events lead to performance degradation of RFID systems with a flood of similar tag information. Therefore, this paper proposes a fuzzy logic-based quantized event filter. In order to reduce duplicated tag readings and solve disordering of tag readings, the filter applies a fuzzy logic system to control a filtering threshold by the change in circumstances of readers. Continuous tag readings are converted into discrete values for event generation by the filtering threshold. And, the filter generates as many events as the discrete values at a point of event generation time. Experimental results comparing the proposed filter with existing RFID event filters, such as the primitive event filter and the smoothing event filter, verify effectiveness and efficiency of the fuzzy logic-based quantized event filter.},
keywords={},
doi={10.1093/ietcom/e91-b.11.3560},
ISSN={1745-1345},
month={November},}
Salinan
TY - JOUR
TI - Fuzzy Logic-Based Quantized Event Filter for RFID Data Processing
T2 - IEICE TRANSACTIONS on Communications
SP - 3560
EP - 3568
AU - Sung Ho JANG
AU - Hi Sung CHOUN
AU - Heung Seok CHAE
AU - Jong Sik LEE
PY - 2008
DO - 10.1093/ietcom/e91-b.11.3560
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2008
AB - RFID event filtering is an important issue of RFID data management. Tag read events from readers have some problems like unreliability, redundancy, and disordering of tag readings. Duplicated events lead to performance degradation of RFID systems with a flood of similar tag information. Therefore, this paper proposes a fuzzy logic-based quantized event filter. In order to reduce duplicated tag readings and solve disordering of tag readings, the filter applies a fuzzy logic system to control a filtering threshold by the change in circumstances of readers. Continuous tag readings are converted into discrete values for event generation by the filtering threshold. And, the filter generates as many events as the discrete values at a point of event generation time. Experimental results comparing the proposed filter with existing RFID event filters, such as the primitive event filter and the smoothing event filter, verify effectiveness and efficiency of the fuzzy logic-based quantized event filter.
ER -