A Novel Hybrid Intelligent Indoor Location Method for Mobile Devices by Zones Using Wi-Fi Signals
| Autor: | Carelia Gaxiola-Pacheco, Guillermo Licea, Leocundo Aguilar, Manuel Castanon Puga, Abby Stephanie Salazar |
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| Rok vydání: | 2015 |
| Předmět: |
wireless networks
Engineering lcsh:Chemical technology computer.software_genre Biochemistry Fuzzy logic Article Analytical Chemistry Type-2 fuzzy inference system indoor location Wireless lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Structure (mathematical logic) location-based services wireless/mobile applications Wireless network business.industry Local area network data mining Fuzzy control system Atomic and Molecular Physics and Optics Location-based service Data mining business Mobile device computer |
| Zdroj: | Sensors Volume 15 Issue 12 Pages 30142-30164 Sensors, Vol 15, Iss 12, Pp 30142-30164 (2015) Sensors; Volume 15; Issue 12; Pages: 30142-30164 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s151229791 |
| Popis: | The increasing use of mobile devices in indoor spaces brings challenges to location methods. This work presents a hybrid intelligent method based on data mining and Type-2 fuzzy logic to locate mobile devices in an indoor space by zones using Wi-Fi signals from selected access points (APs). This approach takes advantage of wireless local area networks (WLANs) over other types of architectures and implements the complete method in a mobile application using the developed tools. Besides, the proposed approach is validated by experimental data obtained from case studies and the cross-validation technique. For the purpose of generating the fuzzy rules that conform to the Takagi–Sugeno fuzzy system structure, a semi-supervised data mining technique called subtractive clustering is used. This algorithm finds centers of clusters from the radius map given by the collected signals from APs. Measurements of Wi-Fi signals can be noisy due to several factors mentioned in this work, so this method proposed the use of Type-2 fuzzy logic for modeling and dealing with such uncertain information. |
| Databáze: | OpenAIRE |
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