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R2CEDM: A Rete-Based RFID Complex Event Detection Method

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Abstract

In various RFID application scenarios, RFID generates real-time and inherent unreliable raw data continually, which contain valuable enterprises business event. How to detect valuable event from RFID raw data has becoming a key issue. A Rete-based RFID complex event detection method called R2CEDM is proposed. Firstly, α_detecting net is established to detect all attribute of RFID primitive events in R2CEDM. Then β_detecting net is used to assemble RFID events into RFID complex events with the business rules, and concerned RFID complex events is obtained. The comparative experiments show the proposed R2CEDM can effectively improve the processing efficiency.

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References

  1. Barenji, R.V., Barenji, A.V., Hashemipour, M.: A multi-agent RFID-enabled distributed control system for a flexible manufacturing shop. Int. J. Adv. Manuf. Technol. 71, 1773–1791 (2014)

    Article  Google Scholar 

  2. Yao, Z.L., Zhang, H., Yong, L.W.: RFID complex event processing: applications in real-time locating system. J. Int. J. Intell. Sci. 2, 160–165 (2012)

    Article  Google Scholar 

  3. Cugola, G., Margara, A.: Processing flows of information: from data stream to complex event processing. In: ACM International Conference on Distributed Event-Based Systems, pp. 359–360. ACM Press, New York (2011)

    Google Scholar 

  4. Yao, W., Chu, C.H., Li, Z.: Leveraging complex event processing for smart hospitals using RFID. J. Netw. Comput. Appl. 34, 799–810 (2011)

    Article  Google Scholar 

  5. Bok, K.S., Yeo, M.H., Lee, B.Y., et al.: Efficient complex event processing over RFID streams. Int. J. Distrib. Sens. Netw. 2012(1550–1329), 53–62 (2012)

    Google Scholar 

  6. Wang, F.S., Liu, S.R., Liu, P.Y.: Complex RFID event processing. Int. J. Very Large Data Bases 18, 913–931 (2009)

    Article  Google Scholar 

  7. Nie, Y., Li, Z., Chen, Q.: Complex event processing over unreliable RFID data streams. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, Mohamed A. (eds.) APWeb 2011. LNCS, vol. 6612, pp. 278–289. Springer, Heidelberg (2011). doi:10.1007/978-3-642-20291-9_29

    Chapter  Google Scholar 

  8. Yeh, M.K., Jiang, J.R., Huang, S.T.: Four-ary query tree splitting with parallel responses for RFID tag anti-collision. Int. J. AD Hoc Ubiquit. Comput. 16, 193–205 (2014)

    Article  Google Scholar 

  9. Lange, S., Donges, J.F., Volkholz, J., et al.: Local difference measures between complex networks for dynamical system model evaluation. Multi. Sci. 10(6), e0129413–e0129413 (2015)

    Google Scholar 

  10. Wang, F., Liu, S., Liu, P., Bai, Y.: Bridging physical and virtual worlds: complex event processing for RFID data streams. In: Ioannidis, Y., Scholl, Marc H., Schmidt, Joachim W., Matthes, F., Hatzopoulos, M., Boehm, K., Kemper, A., Grust, T., Boehm, C. (eds.) EDBT 2006. LNCS, vol. 3896, pp. 588–607. Springer, Heidelberg (2006). doi:10.1007/11687238_36

    Chapter  Google Scholar 

  11. Wu, E., Diao, Y., Rizvi, S.: High-performance complex event processing over streams. In: ACM SIGMOD, pp. 407–418. ACM Press, Chicago (2006)

    Google Scholar 

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Acknowledgments

This work was supported by the National Science Foundation of China (61203135), National High-tech R&D Program of China (2015AA015308), China Post-doctoral Science Foundation (2014T70852), Chongqing Postdoctoral Science Foundation Project (Xm201305), Sichuan provincial education department (15ZB0327) and the general project of Sichuan University of Arts and Science (2015TP002Y).

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Correspondence to Linjiang Zheng .

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Peng, X., Zheng, L., Liao, T. (2017). R2CEDM: A Rete-Based RFID Complex Event Detection Method. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data. DMBD 2017. Lecture Notes in Computer Science(), vol 10387. Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-61845-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61844-9

  • Online ISBN: 978-3-319-61845-6

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