Improving the accuracy of indoor user location using IEEE 802.11 signals
The best candidate to determine a user location in indoor environment is by using IEEE 802.11 (Wi-Fi) signals, since it is more and more widely available and installed on most mobile devices used by users. Unfortunately, the signal strength, signals quality and noise of Wi-Fi, in worst scenario, fl...
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iium-29402012-02-22T06:34:53Z http://irep.iium.edu.my/2940/ Improving the accuracy of indoor user location using IEEE 802.11 signals Mantoro, Teddy Ayu, Media Anugerah T Technology (General) T58.5 Information technology The best candidate to determine a user location in indoor environment is by using IEEE 802.11 (Wi-Fi) signals, since it is more and more widely available and installed on most mobile devices used by users. Unfortunately, the signal strength, signals quality and noise of Wi-Fi, in worst scenario, fluctuate up to 33% because of the reflection, refraction, temperature, humidity, the dynamic environment, etc. This makes problems in determining a user location indoor. This study presents our current development on a light-weight algorithm, which is designed to be easy, simple but robust in producing the determination of user location. We study user location accuracy and the error levels to verify the mislead determination of the user location and improve the accuracy of the user location based on multiple observers" ηk- Nearest Neighbor. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/2940/1/accuracy_05686119.pdf Mantoro, Teddy and Ayu, Media Anugerah (2010) Improving the accuracy of indoor user location using IEEE 802.11 signals. In: 2010 IEEE Region 10 Conference, TENCON 2010, 21 - 24 Nov 2010, Fukuoka, Japan. http://dx.doi.org/10.1109/TENCON.2010.5686119 doi:10.1109/TENCON.2010.5686119 |
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T Technology (General) T58.5 Information technology |
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T Technology (General) T58.5 Information technology Mantoro, Teddy Ayu, Media Anugerah Improving the accuracy of indoor user location using IEEE 802.11 signals |
description |
The best candidate to determine a user location in indoor environment is by using IEEE 802.11 (Wi-Fi) signals, since
it is more and more widely available and installed on most mobile devices used by users. Unfortunately, the signal strength, signals quality and noise of Wi-Fi, in worst scenario, fluctuate up to 33% because of the reflection, refraction, temperature, humidity, the dynamic environment, etc. This makes problems in determining a user location indoor. This study presents our current development on a light-weight algorithm, which is designed to be easy, simple
but robust in producing the determination of user location. We study user location accuracy and the error levels to verify the mislead determination of the user location and improve the accuracy of the user location based on multiple observers" ηk- Nearest Neighbor. |
format |
Conference or Workshop Item |
author |
Mantoro, Teddy Ayu, Media Anugerah |
author_facet |
Mantoro, Teddy Ayu, Media Anugerah |
author_sort |
Mantoro, Teddy |
title |
Improving the accuracy of indoor user location using IEEE 802.11 signals |
title_short |
Improving the accuracy of indoor user location using IEEE 802.11 signals |
title_full |
Improving the accuracy of indoor user location using IEEE 802.11 signals |
title_fullStr |
Improving the accuracy of indoor user location using IEEE 802.11 signals |
title_full_unstemmed |
Improving the accuracy of indoor user location using IEEE 802.11 signals |
title_sort |
improving the accuracy of indoor user location using ieee 802.11 signals |
publishDate |
2010 |
url |
http://irep.iium.edu.my/2940/ http://irep.iium.edu.my/2940/ http://irep.iium.edu.my/2940/ http://irep.iium.edu.my/2940/1/accuracy_05686119.pdf |
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2023-09-18T20:10:38Z |
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2023-09-18T20:10:38Z |
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