Spatial inference using networks of RFID receiver: a Bayesian approach

Authors:
Ying Zhu;William Howard;Ken Q. Pu
Affiliations:
Faculty of Business and IT, University of Ontario Inst. of Technology, Oshawa, ON, Canada;Faculty of Science, University of Ontario Inst. of Technology, Oshawa, ON, Canada;Faculty of Science, University of Ontario Inst. of Technology, Oshawa, ON, Canada
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

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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.