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: | , , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
2018
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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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