Fuzzy topographic modeling in wireless signal tracking analysis

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

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 spatiotemporal 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.
Original languageEnglish
Title of host publicationIJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings
Pages17-24
Number of pages8
Publication statusPublished - 1 Dec 2009
Event1st International Joint Conference on Computational Intelligence, IJCCI 2009 - Funchal, Madeira, Portugal
Duration: 5 Oct 20097 Oct 2009

Conference

Conference1st International Joint Conference on Computational Intelligence, IJCCI 2009
Country/TerritoryPortugal
CityFunchal, Madeira
Period5/10/097/10/09

Keywords

  • Fuzzy logic
  • Received signal strength
  • Topographic mapping
  • Wireless signal tracking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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