A temporal-based model of uncertain RFID data

Author

Xie, Dong ; Sheng, Quan Z. ; Ma, Jiangang

Author_Institution

Dept. of Comput. Sci. & Technol., Hunan Univ. of Humanities, Loudi, China

fYear

2012

fDate

14-17 July 2012

Firstpage

847

Lastpage

850

Abstract

Radio Frequency Identification (RFID) technology is widely used in object tracking and tracing. However, massive uncertain data produced by RFID readers is not effective to use in RFID application systems. According to the position and the containment features of RFID objects, this paper proposes a new temporal-based uncertain data model, which can mainly store massive missed RFID data. In addition, the model stores certain data and inferred data in the same table, and this can efficiently support a variety of queries for tracking and tracing RFID objects.

Keywords

data models; object tracking; query processing; radiofrequency identification; relational databases; temporal databases; RFID application systems; RFID readers; containment features; massive missed RFID data storage; object tracing; object tracking; position features; query support; radiofrequency identification; relational database; temporal-based uncertain data model; uncertain RFID data; Computer science; Data models; Databases; History; Radiofrequency identification; Supply chains; Uncertainty; RFID; Relation database; Uncertain data;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education (ICCSE), 2012 7th International Conference on

Conference_Location

Melbourne, VIC

Print_ISBN

978-1-4673-0241-8

Type

conf

DOI

10.1109/ICCSE.2012.6295202

Filename

6295202