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 language | English |
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| Title of host publication | IJCCI 2009 - International Joint Conference on Computational Intelligence, Proceedings |
| Pages | 17-24 |
| Number of pages | 8 |
| Publication status | Published - 1 Dec 2009 |
| Event | 1st International Joint Conference on Computational Intelligence, IJCCI 2009 - Funchal, Madeira, Portugal Duration: 5 Oct 2009 → 7 Oct 2009 |
Conference
| Conference | 1st International Joint Conference on Computational Intelligence, IJCCI 2009 |
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| Country/Territory | Portugal |
| City | Funchal, Madeira |
| Period | 5/10/09 → 7/10/09 |
Keywords
- Fuzzy logic
- Received signal strength
- Topographic mapping
- Wireless signal tracking
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics