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Modeling the Positioning Algorithms Based on RSS Characteristics in IEEE 802.11g Networks

  • Conference paper
Internet of Things, Smart Spaces, and Next Generation Networking (ruSMART 2012, NEW2AN 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7469))

Abstract

Using different methods of navigation, as well as consideration of various sources of signal level determine the resultant value of error in estimating location of the mobile station. Modeling variables of the received signal strength is based on known models of channel structure and service packs (standard IEEE 802.11), with taking into account statistical characteristics. Recursive algorithms use to estimate the constant component of the stochastic processes for solving navigational tasks. Accuracy of the location of subscriber devices is assessed with simulation.

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References

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Author information

Authors and Affiliations

  1. St. Petersburg State Polytechnic University, Saint-Petersburg, Russia

    Vladimir Sukhov & Segey Makarov

  2. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia

    Mstislav Sivers

Authors
  1. Vladimir Sukhov
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  2. Mstislav Sivers
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  3. Segey Makarov
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Editor information

Editors and Affiliations

  1. Department of Communications Engineering, Tampere University of Technology (TUT), Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev

  2. FRUCT Oy, Kissankellontie 20B, 00930, Helsinki, Finland

    Sergey Balandin

  3. Department of Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Yevgeni Koucheryavy

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sukhov, V., Sivers, M., Makarov, S. (2012). Modeling the Positioning Algorithms Based on RSS Characteristics in IEEE 802.11g Networks. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networking. ruSMART NEW2AN 2012 2012. Lecture Notes in Computer Science, vol 7469. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32686-8_42

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  • DOI: https://doi.org/10.1007/978-3-642-32686-8_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32685-1

  • Online ISBN: 978-3-642-32686-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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