Title :
Most accurate algorithms for RSS-based Wi-Fi indoor localisation
Author :
Sebastian Fudickar;Markus Valentin
Author_Institution :
Institute of Computer Science, University of Potsdam, Germany
Abstract :
Since Wi-Fi transceivers are available in most handheld devices, they are well suited for indoor localisation. This article analyses the relevance of thirteen factors of model based received signal strength indoor-localisation algorithms on localisation accuracies and identifies for each of these factors algorithms or parameter-settings that achieve high position accuracy. In order to assure the results´ meaningfulness and comparability, these factors´ optima have been identified via trace-driven empirical studies. By comparing position accuracies of the optimised optLoc localisation algorithm and of the Radar algorithm, a significant increase of accuracy was shown. In case of the optLoc algorithm, error distances dropped by ca. 1m and localisation-error rates decreased also significantly. In addition, the article studies energy efficiency of Wi-Fi based indoor localisation and identifies the most energy efficient approach.
Keywords :
"Accuracy","Measurement","Buildings","Optimization","Algorithm design and analysis","IEEE 802.11 Standard","Mathematical model"
Conference_Titel :
Indoor Positioning and Indoor Navigation (IPIN), 2014 International Conference on
DOI :
10.1109/IPIN.2014.7275466