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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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Bibliographic Details
Main Authors: Yuen C.W., Balasubramaniam N., Din N.Md.
Other Authors: 36086913100
Format: Conference paper
Published: 2023
Subjects:
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-sensing
Mobile users
Wireless local area networks (WLAN)
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Summary: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.

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