A Novel Approach for RFID Data Cleansing Based on Bayesian Inference

Fan Yang; Long Zhang Liu; Xing Jia Lu

doi:10.4028/www.scientific.net/AMM.577.856

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 577A Novel Approach for RFID Data Cleansing Based on...

A Novel Approach for RFID Data Cleansing Based on Bayesian Inference

Abstract:

Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many anomalies. The solution should take advantage of the resulting data redundancy for data cleaning. In this paper we propose a Bayesian inference based approach for cleaning RFID raw data. Our approach takes full advantage of data redundancy. To capture the likelihood, we design a 3-state detection model and formally prove this model can maximize the system performance.

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Periodical:

Applied Mechanics and Materials (Volume 577)

Pages:

856-859

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.577.856

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Online since:

July 2014

Authors:

Fan Yang*, Long Zhang Liu, Xing Jia Lu

Keywords:

Bayesian Inference, Data Cleansing, RFID

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