Advertisement

Data Management in RFID Applications

  • Dan Lin
  • Hicham G. Elmongui
  • Elisa Bertino
  • Beng Chin Ooi
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Query Time Query Path Path Information Edge Server Representative Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Developing auto-id solutions using sun java system rfid software. http://java.sun.com/developer/technical-Articles/Ecommerce/rfid/sjsrfid/RFID.html
  2. 2.
    Microsoft’s rfid ‘momentum’ includes middleware platform, apps. http://www.eweek.com/article2/0,759,766050,00.asp
  3. 3.
  4. 4.
    Venture development corporation (vdc): http://www.vdc-corp.com
  5. 5.
  6. 6.
    Bornhovd, C., Lin, T., Haller, S., Schaper, J.: Integrating automatic data acquisition with business processes - experiences with sap’s auto-id infrastructure. In: Proc. VLDB, pp. 1182–1188 (2004)Google Scholar
  7. 7.
    Chawathe, S., Krishnamurthy, V., Ramachandran, S., Sarma, S.: Managing rfid data. In: Proc. VLDB, pp. 1189–1195 (2004)Google Scholar
  8. 8.
    Gonzalez, H., Han, J., Li, X., Klabjan, D.: Warehousing and analyzing massive rfid data sets. In: Proc. ICDE, p. 83 (2006)Google Scholar
  9. 9.
    Hu, Y., Sundara, S., Chorma, T., Srinivasan, J.: Supporting rfid-based item tracking applications in oracle dbms using a bitmap datatype. In: Proc. VLDB, pp. 1140–1151 (2005)Google Scholar
  10. 10.
    Lampe, M., Flrkemeier, C.: The smart box application model. In: Proc. Int. Conf. of Pervasive Computing (2004)Google Scholar
  11. 11.
    Wang, F., Liu, P.: Temporal management of rfid data. In: Proc. VLDB, pp. 1128–1139 (2005)Google Scholar
  12. 12.
    Want, R.: The magic of rfid. ACM Queue 2(7), 40–48 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Dan Lin
    • 1
  • Hicham G. Elmongui
    • 1
  • Elisa Bertino
    • 1
  • Beng Chin Ooi
    • 2
  1. 1.Department of Computer Science, Purdue UniversityUSA
  2. 2.Department of Computer Science, National University of SingaporeSingapore

Personalised recommendations