Title :
Spatial Inference Using Networks of RFID Receiver: A Bayesian Approach
Author :
Zhu, Ying ; Howard, William ; Pu, Ken Q.
Author_Institution :
Fac. of Bus. & IT, Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Abstract :
We introduce a statistical technique of inferring the position of RFID tags by means of computation on multiple data streams from distributed RFID receivers. Using a single statistical model that describes the detection rate between tags and receivers, we are able to perform Bayesian inference on the positions of the observed tags. If permitted by the receivers, our method can optimally coordinate the signal strength of multiple receivers to improve the time response of our positional inference system.
Keywords :
Bayes methods; radiofrequency identification; Bayesian approach; distributed RFID receivers; multiple data streams; positional inference system; single statistical model; spatial inference; Active RFID tags; Batteries; Bayesian methods; Computer networks; Interference; Marketing and sales; Passive RFID tags; RFID tags; Radiofrequency identification; Receivers;
Conference_Titel :
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-4148-8
DOI :
10.1109/GLOCOM.2009.5425419
