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...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Conference paper |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Tenaga Nasional |