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Mobile Tracking Using Fuzzy Multi-criteria Decision Making

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Mobile Ad-hoc and Sensor Networks (MSN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3794))

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Abstract

In the microcell- or picocell-based system the frequent movements of the mobile bring about excessive traffics into the networks. A mobile location estimation mechanism can facilitate both efficient resource allocation and better QoS provisioning through handoff optimization. In this study, we propose a novel mobile tracking method based on Multi-Criteria Decision Making (MCDM), in which uncertain parameters such as PSS (Pilot Signal Strength), the distance between the mobile and the base station, the moving direction, and the previous location are used in the decision process using the aggregation function in fuzzy set theory. Through numerical results, we show that our proposed mobile tracking method provides a better performance than the conventional method using the received signal strength.

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References

  1. Nypan, T., Hallingstad, O.: Cellular Positioning by Database Comparison and Hidden Markov Models. In: PWC 2002, October 2002, pp. 277–284 (2002)

    Google Scholar 

  2. Rappaport, T.S., Reed, J.H., Woerner, B.D.: Position Location Using Wireless Communications on Highways of the Future. IEEE Communications Magazine, 33–41 (October)

    Google Scholar 

  3. Spirito, Y.A.: On the Accuracy of Cellular Mobile Station Location Estimation. IEEE Trans. Veh. Technol. 50(3), 674–685 (2001)

    Article  Google Scholar 

  4. Lee, J.C., Mun, Y.S.: Mobile Location Estimation Scheme. SK telecommunications Review 9(6), 968–983 (1999)

    Google Scholar 

  5. Naso, C., Turchiano, B.: A Fuzzy Multi-Criteria Algorithm for Dynamic Routing in FMS. In: IEEE ICSMC 1998, October 1998, vol. 1, pp. 457–462 (1998)

    Google Scholar 

  6. Yeh, C.H., Deng, H.: An Algorithm for Fuzzy Multi-Criteria Decisionmaking. In: IEEE ICIPS 1997, pp. 1564–1568 (1997)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, S.C., Lee, J.C., Shin, Y.S., Cho, KR. (2005). Mobile Tracking Using Fuzzy Multi-criteria Decision Making. In: Jia, X., Wu, J., He, Y. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2005. Lecture Notes in Computer Science, vol 3794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599463_102

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  • DOI: https://doi.org/10.1007/11599463_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30856-0

  • Online ISBN: 978-3-540-32276-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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