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Dynamic Indoor Localization Using Wireless Ethernet: The ARIADNE System

  • Yiming Ji
  • Saâd Biaz
  • Santosh Pandey
  • Prathima Agrawal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3970)

Abstract

Location determination of mobile users within a building has attracted much attention lately due to its many applications in mobile networking including network intrusion detection problems. However, it is challenging due to the complexities of the indoor radio propagation characteristics exacerbated by the mobility of the user. A common practice is to mechanically generate a table showing the radio signal strength at different known locations in the building. A mobile user’s location at an arbitrary point in the building is determined by measuring the signal strength at the location in question and determining the location by referring to the above table using a LMSE (least mean square error) criterion. Obviously, this is a very tedious and time consuming task. This paper proposes a novel and automated location determination method called ARIADNE. Using a two dimensional construction floor plan and only a single actual signal strength measurement, ARIADNE generates an estimated signal strength map comparable to those generated manually by actual measurements. Given the signal measurements for a mobile, a proposed clustering algorithm searches that signal strength map to determine the current mobile’s location. The results from ARIADNE are comparable and may even be superior to those from existing localization schemes.

Keywords

Signal Strength Mobile User Receive Signal Strength Indicator Radio Propagation Indoor Localization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yiming Ji
    • 1
  • Saâd Biaz
    • 1
  • Santosh Pandey
    • 2
  • Prathima Agrawal
    • 2
  1. 1.Department of Computer Science and Software EngineeringAuburn UniversityUSA
  2. 2.Department of Electrical and Computer EngineeringAuburn UniversityUSA

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