Fuzzy Logic-Based Quantized Event Filter for RFID Data Processing

Sung Ho JANG; Hi Sung CHOUN; Heung Seok CHAE; Jong Sik LEE

doi:10.1093/ietcom/e91-b.11.3560

Fuzzy Logic-Based Quantized Event Filter for RFID Data Processing

Sung Ho JANG, Hi Sung CHOUN, Heung Seok CHAE, Jong Sik LEE

Full Text Views

0

Cite this

Summary :

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.

Publication: IEICE TRANSACTIONS on Communications Vol.E91-B No.11 pp.3560-3568

Publication Date: 2008/11/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e91-b.11.3560

Type of Manuscript: Special Section PAPER (Special Section on Emerging Technologies for Practical Ubiquitous and Sensor Networks)

Category

Cite this

Copy

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

Copy

@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},}

Copy

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 -