Over the last decade, many commercial and government organizations as well as university campuses have deployed WLANs such as IEEE 802.11b. This has fostered a growing interest in location-based services and applications. Fuzzy logic can be applied to evaluate the behaviour of Wireless Local Area Networks (WLAN) received signal strength (RSS) and as well as to retrieve the location-aware information according to the preference of user. 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 first propose a novel fuzzy spatio-temporal topographic model. We applied the Nelder-Mead (NM) method to simplify our previous work on fuzzy color map into a topographic (line-based) map. Secondly, we propose a location-aware information retrieval application that travelers access the application with Apple's iPhones which also identify the user current location. We demonstrate our idea with 17,000 restaurants in Hong Kong and make use of fuzzy logic to return the favorable dinning place search result according to the user's preference. Our result shows that the new analytical model can provide a detail and quantitative strong representation of WLAN RSS.
|Name||Studies in Computational Intelligence|
- Fuzzy logic
- Topographic mapping
- Wi-Fi signal strength
- Wireless tracking