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Effectively Monitoring RFID Based Systems

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6295))

Abstract

Datastreams are potentially infinite sources of data that flow continuously while monitoring a physical phenomenon, like temperature levels or other kind of human activities, such as clickstreams, telephone call records, and so on. Radio Frequency Identification (RFID) technology has lead in recent years the generation of huge streams of data. Moreover, RFID based systems allow the effective management of items tagged by RFID tags, especially for supply chain management or objects tracking. In this paper we introduce SMART (Simple Monitoring enterprise Activities by RFID Tags) a system based on outlier template definition for detecting anomalies in RFID streams. We describe SMART features and its application on a real life scenario that shows the effectiveness of the proposed method for effective enterprise management.

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References

  1. Avnur, R., Hellerstein, J.M.: Eddies: Continuously adaptive query processing. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Dallas, Texas, USA, pp. 261–272 (2000)

    Google Scholar 

  2. Datar, M., Motwani, R., Babcock, B., Babu, S., Widom, J.: Models and Issues in Data Stream Systems. In: Twenty-first ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Madison, Wisconsin, USA, pp. 1–16 (2002)

    Google Scholar 

  3. Li, X., Gonzalez, H., Han, J., Klabjan, D.: Warehousing and Analyzing Massive RFID Data Sets. In: Proc. of the ICDE Conference (2006) (to appear)

    Google Scholar 

  4. Madden, S., Hellerstein, J.M.: Distributing queries over low-power wireless sensor networks. In: ACM SIGMOD Int. Conf. on Management of Data, Madison (WI), USA (2002)

    Google Scholar 

  5. Raghavan, P., Henzinger, M.R., Rajagopalan, S.: Computing on data streams. Technical Report 1998-011, Digital Systems Research Center (1998), http://www.research.digital.com/SRC/

  6. Gehrke, J., Bonnet, P., Seshadri, P.: Querying the Physical World. IEEE Personal Communication 7 (2000)

    Google Scholar 

  7. Alert System, http://www.alertsystems.org

  8. Li Lee, M., Ganti, V., Ramakrishnan, R.: ICICLES: Self-tuning Samples for Approximate Query Answering. In: Proceedings of 26th International Conference on Very Large Data Bases, Cairo, Egypt, pp. 176–187 (2000)

    Google Scholar 

  9. Thakkar, H., Wang, H., Bai, Y., Luo, R.C., Zaniolo, C.: An introduction to the Expressive Stream Language (ESL). Tech. Report

    Google Scholar 

  10. Pei, J., Chen, Q., Liu, Y., Chen, L., Zhao, Y.: Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. In: PerCom, pp. 37–46 (2007)

    Google Scholar 

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Angiulli, F., Masciari, E. (2010). Effectively Monitoring RFID Based Systems. In: Catania, B., Ivanović, M., Thalheim, B. (eds) Advances in Databases and Information Systems. ADBIS 2010. Lecture Notes in Computer Science, vol 6295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15576-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-15576-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15575-8

  • Online ISBN: 978-3-642-15576-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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