Self-organizing map approach for determining mobile user location using IEEE 802.11 signals

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...

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Main Authors:	Mantoro, Teddy, Ayu, Media Anugerah, Nuraini, Asma, Amin, Sulafa Mohd
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	T Technology (General) T58.5 Information technology
Online Access:	http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/1/SOM_05561480.pdf

id	iium-2980
recordtype	eprints
spelling	iium-29802012-02-20T15:33:09Z http://irep.iium.edu.my/2980/ Self-organizing map approach for determining mobile user location using IEEE 802.11 signals Mantoro, Teddy Ayu, Media Anugerah Nuraini, Asma Amin, Sulafa Mohd T Technology (General) T58.5 Information technology 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. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/2980/1/SOM_05561480.pdf 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) . http://dx.doi.org/10.1109/ITSIM.2010.5561480 doi:10.1109/ITSIM.2010.5561480
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General) T58.5 Information technology
spellingShingle	T Technology (General) T58.5 Information technology Mantoro, Teddy Ayu, Media Anugerah Nuraini, Asma Amin, Sulafa Mohd Self-organizing map approach for determining mobile user location using IEEE 802.11 signals
description	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.
format	Conference or Workshop Item
author	Mantoro, Teddy Ayu, Media Anugerah Nuraini, Asma Amin, Sulafa Mohd
author_facet	Mantoro, Teddy Ayu, Media Anugerah Nuraini, Asma Amin, Sulafa Mohd
author_sort	Mantoro, Teddy
title	Self-organizing map approach for determining mobile user location using IEEE 802.11 signals
title_short	Self-organizing map approach for determining mobile user location using IEEE 802.11 signals
title_full	Self-organizing map approach for determining mobile user location using IEEE 802.11 signals
title_fullStr	Self-organizing map approach for determining mobile user location using IEEE 802.11 signals
title_full_unstemmed	Self-organizing map approach for determining mobile user location using IEEE 802.11 signals
title_sort	self-organizing map approach for determining mobile user location using ieee 802.11 signals
publishDate	2010
url	http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/1/SOM_05561480.pdf
first_indexed	2023-09-18T20:10:40Z
last_indexed	2023-09-18T20:10:40Z
_version_	1777407456073220096

Self-organizing map approach for determining mobile user location using IEEE 802.11 signals

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