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)


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
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


Conference1st International Joint Conference on Computational Intelligence, IJCCI 2009
CityFunchal, Madeira


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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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