Mantoro, Teddy and Ayu, Media Anugerah and Nuraini, Asma and Amin, Sulafa Mohd (2010) Self-organizing map approach for determining mobile user location using IEEE 802.11 signals. In: 2010 International Symposium in Information Technology (ITSim 2010) .
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Abstract
This paper describes a study towards user location system based on Kohonen Self-Organizing Maps (SOM) algorithm for locating user location with the existing Wi-Fi signals. With the novel use of Wi-Fi based on the IEEE 802.11 standards: inferring the location of a wireless client from signal quality measures, the Kohonen SOM paradigms were used. SOM as an unsupervised learning techniques of Artificial Neural Network (ANN) capable for summarizing high-dimensional data which cause region of the network to respond similarly to certain input patterns by analyzing the signal strength or signal-to-noise (SNR) of the wireless access points (AP) that enable a wireless networked device to infer the location of wireless client. Location estimation is then computed using SOM on sample sets. We outline the study leading to the system and provide location performance metrics where a user who is using wireless local area network (WLAN) will be able to detect with the existing of Wi-Fi signal nodes with the SOM technique, highlighting position at the current time.
Item Type: | Conference or Workshop Item (Full Paper) |
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Additional Information: | 5960/2980 |
Uncontrolled Keywords: | Artificial neural network; self-organizing map; indoor user location; location-aware computing; pervasive environment |
Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.5 Information technology |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology |
Depositing User: | Media Ayu |
Date Deposited: | 08 Sep 2011 15:23 |
Last Modified: | 20 Feb 2012 23:33 |
URI: | http://irep.iium.edu.my/id/eprint/2980 |
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