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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/2980/ http://irep.iium.edu.my/2980/1/SOM_05561480.pdf |
| _version_ | 1848776081836867584 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:24:25Z |
| format | Proceeding Paper |
| id | iium-2980 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:24:25Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) T58.5 Information technology |
| 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 |