FUZZY TOPOGRAPHIC MODELING IN WIRELESS SIGNAL TRACKING ANALYSIS

Eddie C. L. Chan, George Baciu, S. C. Mak

2009

Abstract

Fuzzy logic modelling can be applied to evaluate the behaviour of Wireless Local Area Networks (WLAN) received signal strength (RSS). The behavior study of WLAN signal strength is a pivotal part of WLAN tracking analysis. Previous analytical model has not been addressed effectively for analyzing how the WLAN infrastructure affected the accuracy of tracking. In this paper, we propose a novel fuzzy spatio-temporal topographic model. We implemented the proposed model with a large (9.34 hectare), built-up university, over 2,000 access points to survey and collect WLAN received signal strength (RSS). We applied the Nelder-Mead (NM) method to simplify our previous work on fuzzy color map into a topographic (line-based) map. The new model can provide a detail and quantitative strong representation of WLAN RSS. Finally, it serves as a quicker reference and efficient analysis tool for improving the design of WLAN infrastructure.

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Paper Citation


in Harvard Style

Chan E., Baciu G. and Mak S. (2009). FUZZY TOPOGRAPHIC MODELING IN WIRELESS SIGNAL TRACKING ANALYSIS . In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 17-24. DOI: 10.5220/0002312700170024


in Bibtex Style

@conference{icfc09,
author={Eddie C. L. Chan and George Baciu and S. C. Mak},
title={FUZZY TOPOGRAPHIC MODELING IN WIRELESS SIGNAL TRACKING ANALYSIS},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009)},
year={2009},
pages={17-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002312700170024},
isbn={978-989-674-014-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009)
TI - FUZZY TOPOGRAPHIC MODELING IN WIRELESS SIGNAL TRACKING ANALYSIS
SN - 978-989-674-014-6
AU - Chan E.
AU - Baciu G.
AU - Mak S.
PY - 2009
SP - 17
EP - 24
DO - 10.5220/0002312700170024