Experimental Comparison of Bluetooth and WiFi Signal Propagation for Indoor Localisation

Dimitrova, Desislava C.; Alyafawi, Islam; Braun, Torsten (2012). Experimental Comparison of Bluetooth and WiFi Signal Propagation for Indoor Localisation. In: Koucheryavy, Yevgeni; Mamatas, Lefteris; Matta, Ibrahim; Tsaoussidis, Vassilis (eds.) Wired/Wireless Internet Communication. 10th International Conference, WWIC 2012, Santorini, Greece, June 6-8, 2012. Lecture Notes in Computer Science: Vol. 7277 (pp. 126-137). Heidelberg: Springer Verlag 10.1007/978-3-642-30630-3_11

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Systems for indoor positioning using radio technologies are largely studied due to their convenience and the market opportunities they offer. The positioning algorithms typically derive geographic coordinates from observed radio signals and hence good understanding of the indoor radio channel is required. In this paper we investigate several factors that affect signal propagation indoors for both Bluetooth and WiFi. Our goal is to investigate which factors can be disregarded and which should be considered in the development of a positioning algorithm. Our results show that technical factors such as device characteristics have smaller impact on the signal than multipath propagation. Moreover, we show that propagation conditions differ in each direction. We also noticed that WiFi and Bluetooth, despite operating in the same radio band, do not at all times exhibit the same behaviour.

Item Type: Book Section (Book Chapter)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Dimitrova, Desislava Cvetanova; Alyafawi, Islam Fayez Abd and Braun, Torsten
Series: Lecture Notes in Computer Science
Publisher: Springer Verlag
Language: English
Submitter: Factscience Import
Date Deposited: 04 Oct 2013 14:42
Last Modified: 13 Jan 2015 13:44
Publisher DOI: 10.1007/978-3-642-30630-3_11
URI: http://boris.unibe.ch/id/eprint/17242 (FactScience: 224988)

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