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Authors: Eddie C. L. Chan ; George Baciu and S. C. Mak

Affiliation: The Hong Kong Polytechnic University, Hong Kong

ISBN: 978-989-674-014-6

Keyword(s): Wireless Signal tracking, Topographic Mapping, Received Signal Strength, Fuzzy Logic.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Fuzzy Systems Design, Modeling and Control ; Soft Computing

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 several formats:
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

@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},
}

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

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