Comparison of floor detection approaches for suburban area

Rafał Górak , Marcin Luckner


As a part of smart-buildings, indoor localisation systems – alternative to Global Positioning System localisation – bring constantly improving results. Several localisation methods works with a horizontal localisation error less than few meters. However, for small suburban houses, horizontal localisation is not as important as detection of the current floor, which in is still a challenge in multi-storey buildings. This paper compares several approaches that can be used in fingerprintingbased floor detection systems. The tests include the following fingerprints: pressure measures, Wi-Fi signals, and two generations of cellular networks signals. The tests have been done in the suburban 3-storey building with underdeveloped Wi-Fi and cellular infrastructure. Notwithstanding, the floor detection based on Received Signal Strength from both infrastructures reached from 98 to 100%. Additionally, we showed that differences in the number of measures and differences in the number of received signals were not a major factor that influenced on accuracy.
Author Rafał Górak ZPG
Rafał Górak,,
- Department of Foundations Geometry
, Marcin Luckner ZZIMN
Marcin Luckner,,
- Department of Applied Computer Science and Computation Methods
Publication size in sheets0.5
Book Nguyen Ngoc Thanh, Trawiński Bogdan, Fujita Hamido, Hong Tzung-pei (eds.): Intelligent Information and Database Systems, Lecture Notes in Artificial Intelligence, vol. 9622, 2016, Springer-Verlag Berlin Heidelberg, ISBN 978-3-662-49389-2, [978-3-662-49390-8], DOI:10.1007/978-3-662-49390-8
Keywords in EnglishIndoor Localisation, Fingerprinting, GSM Localisation, Wi-Fi Localisation, Sensors, Mobile Computing
Abstract in PolishPraca przedstawia zastosowanie technologii lokalizacyjnej dla budynków położonych na obrzeżach infrastruktury miejskiej. Ze względu na swoje położenie mają one słabsze pokrycie nadajnikami telefonii komórkowej i Wi-Fi. Jednakże, jak pokazano w pracy, można, przy zastosowaniu lokalizacji na podstawie siły sygnałów, uzyskać praktycznie bezbłędne rozpoznanie piętra na którym znajduje się telefon komórkowy.
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 23-06-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 23-06-2017, BookChapterSeriesAndMatConf
Citation count*0
Share Share

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.