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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Baccar, N. Bouallegue, R. |
| Copyright Year | 2015 |
| Description | Author affiliation: Innov'COM, Univ. Carthage, Tunis, Tunisia (Bouallegue, R.) || Innov'COM/ENIT/CynapsysIT, Univ. Tunis El Manar, Tunis, Tunisia (Baccar, N.) |
| Abstract | Geolocalization is a keyword for the emerging location-based applications. This paper presents a new architecture of a geolocalization Android application based on artificial intelligence concept. Our approach considers two contributions: In the learning stage, the system provides an interval-type 2 Fuzzy logic (IT2 FL) processing of the collected radio signal strength (RSS) fingerprints from the Wi-Fi access points. The second contribution is on the output side, a fuzzy location indicator (FLI) is defined to characterize the map zones and rooms. FLIs are type 1 fuzzy sets that will ensure linguistic localization. Then, a Wang-Mendel algorithm is applied to generate the rule base mapping the RSS and their corresponding FLI. For the online stage, the algorithm is implemented and tested using an indoor localization mobile application through the Cynapsys company premises. Using this intelligent localization algorithm based on (IT2 FL), the application has proved better positioning accuracy then classical Wi-Fi fingerprinting systems in zone level and presents ergonomic positioning process through the linguistic learning. |
| Starting Page | 165 |
| Ending Page | 169 |
| File Size | 644564 |
| Page Count | 5 |
| File Format | |
| ISBN | 9789532900569 |
| DOI | 10.1109/SOFTCOM.2015.7314101 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-16 |
| Publisher Place | Croatia |
| Access Restriction | Subscribed |
| Rights Holder | University of Split, FESB |
| Subject Keyword | Fuzzy logic Uncertainty Navigation indoor geolocalization fuzzy location indicator mobile application Fingerprint recognition Interval type 2 Fuzzy logic Mobile applications Androids fingerprinting IEEE 802.11 Standard |
| Content Type | Text |
| Resource Type | Article |
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