A Novel Hybrid Intelligent Indoor Location Method for Mobile Devices by Zones Using Wi-Fi Signals

作者：Castanon Puga Manuel^*; Salazar Abby Stephanie; Aguilar Leocundo; Gaxiola Pacheco Carelia; Licea Guillermo

来源：Sensors (Switzerland), 2015, 15(12): 30142-30164.

DOI：10.3390/s151229791

• wireless networks
• indoor location
• location-based services
• wireless
• mobile applications
• Type-2 fuzzy inference system
• data mining

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.

• 出版日期2015-12