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WiFiNS: A Smart Method to Improve Positioning Systems Combining WiFi and INS Techniques

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Intelligent Interactive Multimedia Systems and Services 2017 (KES-IIMSS-18 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 76))

Abstract

Nowadays, positioning systems and localization techniques have an outstanding application and prominence to reality. In recent times many studies have been concentrated on two localization systems: Inertial Navigation System (INS) and Wi-Fi positioning system (WiPs/WFPS). INS is not much used mainly because of its low reliability on cheaper devices. WFPS is, instead, a recently developed system that presents an appreciable ductility to many environments and a respectable reliability. Techniques and algorithms have been studied to improve precision in localization exploiting more systems to provide a better result. These are taken into consideration by the proposed work which suggests a logic to obtain an as accurate as possible method to retrieve a reliable individuation of devices exploiting and combining WFPS and INS (Inertial Navigation System) in a Wi-Fi provided space. The data obtained are two distances matrices and two errors array referring to the approximate distance among devices in the space selected. To reach the purpose, the arrays of errors are for first normalized and then Wi-Fi and INS matrices are symmetrized taking in more consideration devices with less margin of error, these last are then merged in order to obtain a more accurate distances matrix.

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Authors and Affiliations

  1. Università degli studi di Napoli Federico II, Naples, Italy

    Walter Balzano, Mattia Formisano & Luca Gaudino

Authors
  1. Walter Balzano
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  2. Mattia Formisano
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  3. Luca Gaudino
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Corresponding author

Correspondence to Walter Balzano .

Editor information

Editors and Affiliations

  1. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Giuseppe De Pietro

  2. National Research Council of Italy (CNR-ICAR), Institute for High-Performance Computing and Networking, Naples, Italy

    Luigi Gallo

  3. Fern Barrow, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Balzano, W., Formisano, M., Gaudino, L. (2018). WiFiNS: A Smart Method to Improve Positioning Systems Combining WiFi and INS Techniques. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_23

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  • DOI: https://doi.org/10.1007/978-3-319-59480-4_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59479-8

  • Online ISBN: 978-3-319-59480-4

  • eBook Packages: EngineeringEngineering (R0)

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