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

Rafał Górak , Marcin Luckner

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.
Author Rafał Górak ZPG
Rafał Górak,,
- Department of Foundations Geometry
, Marcin Luckner ZZIMN
Marcin Luckner,,
- Department of Applied Computer Science and Computation Methods
Pages87-96
Publication size in sheets0.5
Book Król Dariusz, Madeyski Lech, Nguyen Ngoc Thanh (eds.): RECENT DEVELOPMENTS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS, Studies in Computational Intelligence, vol. 642, 2016, SPRINGER-VERLAG BERLIN, ISBN 978-3-319-31276-7
Keywords in EnglishIndoor Localisation, Fingerprinting, Wi-Fi Localisation, Sensors, Mobile Computing
Abstract in PolishPraca przedstawia długookresową analizę skuteczności działania systemu lokalizacji bazującego na sygnałach Wi-Fi. Model lokalizacyjny, który wykorzystuje lasy losowe, był testowany na danych zebranych w latach 2012-2014 wewnątrz 6 piętrowego budynku.
DOIDOI:10.1007/978-3-319-31277-4_8
URL http://link.springer.com/chapter/10.1007%2F978-3-319-31277-4_8
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 23-06-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 23-06-2017, BookChapterSeriesAndMatConf
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