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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - MICC 2009
Subtitle of host publication2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents
Pages857-862
Number of pages6
DOIs
Publication statusPublished - 01 Dec 2009
Event2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents, MICC 2009 - Kuala Lumpur, Malaysia
Duration: 15 Dec 200917 Dec 2009

Publication series

NameProceedings - MICC 2009: 2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents

Other

Other2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents, MICC 2009
CountryMalaysia
CityKuala Lumpur
Period15/12/0917/12/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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    Yuen, C. W., Balasubramaniam, N., & Din, N. M. (2009). Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b. In Proceedings - MICC 2009: 2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents (pp. 857-862). [5431451] (Proceedings - MICC 2009: 2009 IEEE 9th Malaysia International Conference on Communications with a Special Workshop on Digital TV Contents). https://doi.org/10.1109/MICC.2009.5431451