IEICE TRANSACTIONS on Communications
Maximum Likelihood Approach for RFID Tag Cardinality Estimation under Capture Effect and Detection Errors
Summary :
Cardinality estimation schemes of Radio Frequency IDentification (RFID) tags using Framed Slotted ALOHA (FSA) based protocol are studied in this paper. Not as same as previous estimation schemes, we consider tag cardinality estimation problem under not only detection errors but also capture effect, where a tag's IDentity (ID) might not be detected even in a singleton slot, while it might be identified even in a collision slot due to the fading of wireless channels. Maximum Likelihood (ML) approach is utilized for the estimation of the detection error probability, the capture effect probability, and the tag cardinality. The performance of the proposed method is evaluated under different system parameters via computer simulations to show the method's effectiveness comparing to other conventional approaches.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E96-B No.5 pp.1122-1129
- Publication Date
- 2013/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E96.B.1122
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
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Chuyen T. NGUYEN, Kazunori HAYASHI, Megumi KANEKO, Hideaki SAKAI, "Maximum Likelihood Approach for RFID Tag Cardinality Estimation under Capture Effect and Detection Errors" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 5, pp. 1122-1129, May 2013, doi: 10.1587/transcom.E96.B.1122.
Abstract: Cardinality estimation schemes of Radio Frequency IDentification (RFID) tags using Framed Slotted ALOHA (FSA) based protocol are studied in this paper. Not as same as previous estimation schemes, we consider tag cardinality estimation problem under not only detection errors but also capture effect, where a tag's IDentity (ID) might not be detected even in a singleton slot, while it might be identified even in a collision slot due to the fading of wireless channels. Maximum Likelihood (ML) approach is utilized for the estimation of the detection error probability, the capture effect probability, and the tag cardinality. The performance of the proposed method is evaluated under different system parameters via computer simulations to show the method's effectiveness comparing to other conventional approaches.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.1122/_p
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@ARTICLE{e96-b_5_1122,
author={Chuyen T. NGUYEN, Kazunori HAYASHI, Megumi KANEKO, Hideaki SAKAI, },
journal={IEICE TRANSACTIONS on Communications},
title={Maximum Likelihood Approach for RFID Tag Cardinality Estimation under Capture Effect and Detection Errors},
year={2013},
volume={E96-B},
number={5},
pages={1122-1129},
abstract={Cardinality estimation schemes of Radio Frequency IDentification (RFID) tags using Framed Slotted ALOHA (FSA) based protocol are studied in this paper. Not as same as previous estimation schemes, we consider tag cardinality estimation problem under not only detection errors but also capture effect, where a tag's IDentity (ID) might not be detected even in a singleton slot, while it might be identified even in a collision slot due to the fading of wireless channels. Maximum Likelihood (ML) approach is utilized for the estimation of the detection error probability, the capture effect probability, and the tag cardinality. The performance of the proposed method is evaluated under different system parameters via computer simulations to show the method's effectiveness comparing to other conventional approaches.},
keywords={},
doi={10.1587/transcom.E96.B.1122},
ISSN={1745-1345},
month={May},}
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TY - JOUR
TI - Maximum Likelihood Approach for RFID Tag Cardinality Estimation under Capture Effect and Detection Errors
T2 - IEICE TRANSACTIONS on Communications
SP - 1122
EP - 1129
AU - Chuyen T. NGUYEN
AU - Kazunori HAYASHI
AU - Megumi KANEKO
AU - Hideaki SAKAI
PY - 2013
DO - 10.1587/transcom.E96.B.1122
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2013
AB - Cardinality estimation schemes of Radio Frequency IDentification (RFID) tags using Framed Slotted ALOHA (FSA) based protocol are studied in this paper. Not as same as previous estimation schemes, we consider tag cardinality estimation problem under not only detection errors but also capture effect, where a tag's IDentity (ID) might not be detected even in a singleton slot, while it might be identified even in a collision slot due to the fading of wireless channels. Maximum Likelihood (ML) approach is utilized for the estimation of the detection error probability, the capture effect probability, and the tag cardinality. The performance of the proposed method is evaluated under different system parameters via computer simulations to show the method's effectiveness comparing to other conventional approaches.
ER -
English
