Title :
An adaptive learning fuzzy logic system for indoor localisation using Wi-Fi in Ambient Intelligent Environments
Author :
Garcia-Valverde, Teresa ; Garcia-Sola, Alberto ; Gomez-Skarmeta, Antonio ; Botia, Juan A. ; Hagras, Hani ; Dooley, James ; Callaghan, Victor
Author_Institution :
Dept. of Inf. & Commun. Eng., Univ. of Murcia, Murcia, Spain
Abstract :
One of the important requirements for Ambient Intelligent Environments (AIEs) is the ability to localise the whereabouts of the user in the AIE to address her/his needs. The outdoor localisation means (like GPS systems) cannot be used in indoor environments. The majority of non intrusive and non camera based indoor localisation systems require the installation of extra hardware such as ultra sound emitters/antennas, RFID antennas, etc. In this paper, we will propose a novel fuzzy logic based indoor localisation system which is based on the WiFi signals which are free to receive and they are available in abundance in the majority of domestic spaces. The proposed system receives WiFi signals from a big number of existing WiFi Access Points (up to 170 Access Points) with no prior knowledge of the access points locations and the environment. The proposed system is able to adapt online incrementally in a lifelong learning mode to deal with the uncertainties and changing conditions facing unknown indoor structures with a few days of calibration at zero-cost deployment with high accuracy. The proposed system was tested in simulated and real environments where the system has given high accuracy (that outperformed the existing techniques) to detect the user in the given AIE and the system was able also to adapt its behaviour to changes in the AIE or the WiFi signals.
Keywords :
fuzzy logic; fuzzy set theory; fuzzy systems; indoor radio; learning (artificial intelligence); telecommunication computing; wireless LAN; AIE; RFID antennas; WiFi access points; WiFi signals; adaptive learning fuzzy logic system; ambient intelligent environments; noncamera based indoor localisation systems; nonintrusive based indoor localisation systems; ultra sound antennas; ultra sound emitters; zero-cost deployment; Artificial intelligence; Fuzzy logic; Fuzzy sets; IEEE 802.11 Standards; Indexes; Training; Uncertainty;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6250769