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Long Term Analysis of the Localization Model Based on Wi-Fi Network

  • Rafał Górak
  • Marcin LucknerEmail author
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 642)

Abstract

The paper presents the analysis of long term accuracy of the localization solution based on Wi-Fi signals. The localization model is built using random forest algorithm and it was tested using data collected between years 2012–2014 inside of a six floor building.

Keywords

Building Floor Random Forest Fingerprint Collection Mean Horizontal Error Growing Regression Trees 
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 International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Faculty of Mathematics and Information ScienceWarsaw University of TechnologyWarszawaPoland

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