Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b

This paper proposes to improve the performance of the K-Nearest Neighbour algorithm in predicting the location of a mobile user in an indoor environment. Emphasis is placed on RSS sample vector fluctuation stabilization, resulting in an overall 12% increase in the precision of predicting correct loc...

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Main Authors: Yuen C.W., Balasubramaniam N., Din N.Md.
Other Authors: 36086913100
Format: Conference paper
Published: 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-307712023-12-29T15:53:00Z Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b Yuen C.W. Balasubramaniam N. Din N.Md. 36086913100 26967610800 9335429400 K-Nearest neigbour Location awareness WLAN IEEE 802.11b Digital television Global system for mobile communications Local area networks Location Standards IEEE 802.11b Indoor environment K-nearest neighbour algorithms Location awareness Location-sensing Mobile users Wireless local area networks (WLAN) This paper proposes to improve the performance of the K-Nearest Neighbour algorithm in predicting the location of a mobile user in an indoor environment. Emphasis is placed on RSS sample vector fluctuation stabilization, resulting in an overall 12% increase in the precision of predicting correct locations compared to previous efforts. �2009 IEEE. Final 2023-12-29T07:52:59Z 2023-12-29T07:52:59Z 2009 Conference paper 10.1109/MICC.2009.5431451 2-s2.0-77952198754 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952198754&doi=10.1109%2fMICC.2009.5431451&partnerID=40&md5=52fa5ed08e270b5ab3ed89f5c726bbef https://irepository.uniten.edu.my/handle/123456789/30771 5431451 857 862 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic K-Nearest neigbour
Location awareness
WLAN IEEE 802.11b
Digital television
Global system for mobile communications
Local area networks
Location
Standards
IEEE 802.11b
Indoor environment
K-nearest neighbour algorithms
Location awareness
Location-sensing
Mobile users
Wireless local area networks (WLAN)
spellingShingle K-Nearest neigbour
Location awareness
WLAN IEEE 802.11b
Digital television
Global system for mobile communications
Local area networks
Location
Standards
IEEE 802.11b
Indoor environment
K-nearest neighbour algorithms
Location awareness
Location-sensing
Mobile users
Wireless local area networks (WLAN)
Yuen C.W.
Balasubramaniam N.
Din N.Md.
Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
description This paper proposes to improve the performance of the K-Nearest Neighbour algorithm in predicting the location of a mobile user in an indoor environment. Emphasis is placed on RSS sample vector fluctuation stabilization, resulting in an overall 12% increase in the precision of predicting correct locations compared to previous efforts. �2009 IEEE.
author2 36086913100
author_facet 36086913100
Yuen C.W.
Balasubramaniam N.
Din N.Md.
format Conference paper
author Yuen C.W.
Balasubramaniam N.
Din N.Md.
author_sort Yuen C.W.
title Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
title_short Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
title_full Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
title_fullStr Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
title_full_unstemmed Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
title_sort improvement of indoor location sensing algorithm using wireless local area network (wlan) ieee 802.11b
publishDate 2023
_version_ 1806425519852355584