Data Management in RFID Applications

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Author

Elisa Bertino, Dan Lin, Hicham G. Elmongui, Beng Chin Ooi

Entry type

book

Abstract

Nowadays, RFID applications have attracted a great deal of interest due to their increasing adoptions in supply chain management, logistics and security. They have posed many new challenges to existing underlying database technologies, such as the requirements of supporting big volume data, preserving data transition path and handling new types of queries. In this paper, we propose an efficient method to manage RFID data. We explore and take advantage of the containment relationships in the relational tables in order to support special queries in the RFID applications. The experimental evaluation conducted on an existing RDBMS demonstrates the efficiency of our method.

Date

2007

URL

http://www.springerlink.com/content/k43732453481h117/

Booktitle

Database and Expert Systems Application

Key alpha

Bertino

Pages

434-444

Publisher

Springer Berlin / Heidelberg

Series

Lecture Notes in Computer Science

Volume

4653

Affiliation

Purdue University

Publication Date

2007-00-00

Copyright

2007

Isbn

978-3-540-74467-2

BibTex-formatted data

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@Book{ Bertino,
	title = "Data Management in RFID Applications",
	author = "Elisa Bertino, Dan Lin, Hicham G. Elmongui, Beng Chin Ooi",
	year = "2007",
	booktitle = "Database and Expert Systems Application",
	pages = "434-444",
	publisher = "Springer Berlin / Heidelberg",
	series = "Lecture Notes in Computer Science",
	volume = "4653",
	abstract = "Nowadays, RFID applications have attracted a great deal of interest due to their increasing adoptions in supply chain management, logistics and security. They have posed many new challenges to existing underlying database technologies, such as the requirements of supporting big volume data, preserving data transition path and handling new types of queries. In this paper, we propose an efficient method to manage RFID data. We explore and take advantage of the containment relationships in the relational tables in order to support special queries in the RFID applications. The experimental evaluation conducted on an existing RDBMS demonstrates the efficiency of our method.",
	affiliation = "Purdue University",
	copyright = "2007",
	isbn = "978-3-540-74467-2",
	url = "http://www.springerlink.com/content/k43732453481h117/",
}