Title :
Maximum a posteriori approach for anonymous RFID tag cardinality estimation
Author :
Nguyen, Chuyen T. ; Hayashi, Kazunori ; Kaneko, Megumi ; Sakai, Hideaki
Author_Institution :
Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
Abstract :
Anonymous tag set cardinality estimation problem of Radio Frequency IDentification (RFID) using Maximum A Posteriori (MAP) approach is studied in this paper. The posterior probability of the total number of tags, given the frame size and the observed number of non-empty slots, is firstly determined. Then, the total number of tags is estimated to maximize the posterior probability. Computer simulation results demonstrate the effectiveness of the proposed approach.
Keywords :
maximum likelihood estimation; probability; radiofrequency identification; anonymous RFID tag; cardinality estimation; computer simulation; maximum a posteriori approach; nonempty slots; posterior probability; radio frequency identification; Computer simulation; Computers; Conferences; Estimation; Protocols; Radiofrequency identification; Security; MAP; RFID; anonymous estimation; framed slotted ALOHA;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288217
