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

Rafał Górak , Marcin Luckner


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 (FMIS / DFG)
Rafał Górak,,
- Department of Foundations Geometry
, Marcin Luckner (FMIS / DACSCM)
Marcin Luckner,,
- Department of Applied Computer Science and Computation Methods
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, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, SPRINGER-VERLAG BERLIN, ISBN 978-3-319-31276-7
Keywords in EnglishIndoor Localisation, Fingerprinting, Wi-Fi Localisation, Sensors, Mobile Computing
ASJC Classification1702 Artificial Intelligence
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.
URL http://link.springer.com/chapter/10.1007%2F978-3-319-31277-4_8
Languageen angielski
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 10-01-2020, BookChapterSeriesAndMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 10-01-2020, BookChapterSeriesAndMatConfByConferenceseries
Publication indicators WoS Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.39
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