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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, the authors propose a novel fuzzy spatiotemporal topographic model. They 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). They applied the Nelder-Mead (NM) method to simplify their previous work on fuzzy color map into a topographic (line-based) map.
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