Maximum Likelihood Approach for RFID Tag Cardinality Estimation under Capture Effect and Detection Errors

Chuyen T. NGUYEN  Kazunori HAYASHI  Megumi KANEKO  Hideaki SAKAI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E96-B   No.5   pp.1122-1129
Publication Date: 2013/05/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E96.B.1122
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Network
Keyword: 
RFID,  Maximum Likelihood (ML),  tag cardinality estimation,  capture effect,  detection errors,  

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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.