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Performance Comparison of Similarity Measurements for Database Correlation Localization Method

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Intelligent Information and Database Systems (ACIIDS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6592))

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Abstract

User positioning is a very important feature in user adaptive system. The user position can be estimated by various positioning methods. This paper investigates an impact of similarity measurements on localization error in deterministic database correlation method. It is also called fingerprinting. Main idea is to compare widely used Euclidean distance with other similarity measurements. Seven different similarity measurements are implemented to simulation model created in Matlab software tool. Computation complexity of each similarity measurement is investigated and impact of similarity measurements on localization error in normal and extreme conditions is shown.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Department of Telecommunications and Multimedia, University of Zilina, Univerzitna 8215/1, 010 26, Zilina, Slovakia

    Juraj Machaj & Peter Brida

Authors
  1. Juraj Machaj
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  2. Peter Brida
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Editor information

Editors and Affiliations

  1. Wroclaw University of Technology, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Department of Computer Engineering, Yeungnam University, Dae-Dong, 712-749, Gyeungsan, Korea

    Chong-Gun Kim

  3. Institute of Informatics, Automation and Robotics, Wroclaw University of Technology, 50-370, Wrocław, Poland

    Adam Janiak

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© 2011 Springer-Verlag Berlin Heidelberg

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Machaj, J., Brida, P. (2011). Performance Comparison of Similarity Measurements for Database Correlation Localization Method. In: Nguyen, N.T., Kim, CG., Janiak, A. (eds) Intelligent Information and Database Systems. ACIIDS 2011. Lecture Notes in Computer Science(), vol 6592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20042-7_46

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  • DOI: https://doi.org/10.1007/978-3-642-20042-7_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20041-0

  • Online ISBN: 978-3-642-20042-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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