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

Manuel Castañón-Puga1, Abby Stephanie Salazar2, Leocundo Aguilar3

  • 1Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Tijuana 22390, Mexico. puga@uabc.edu.mx.

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Summary

This study introduces a hybrid intelligent method using data mining and Type-2 fuzzy logic for accurate indoor mobile device location via Wi-Fi signals. It effectively handles noisy data for zone-based positioning.

Keywords:
Type-2 fuzzy inference systemdata miningindoor locationlocation-based serviceswireless networkswireless/mobile applications

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Artificial Intelligence

Background:

  • Indoor location methods face challenges with the proliferation of mobile devices.
  • Existing wireless local area network (WLAN) architectures require robust location solutions.
  • Accurate positioning is crucial for various indoor applications and services.

Purpose of the Study:

  • To develop a hybrid intelligent method for zone-based indoor mobile device location.
  • To leverage Wi-Fi signals from access points (APs) for precise positioning.
  • To address the challenge of noisy Wi-Fi signal measurements using advanced techniques.

Main Methods:

  • A hybrid approach combining data mining and Type-2 fuzzy logic was implemented.
  • Subtractive clustering, a semi-supervised data mining technique, was used for fuzzy rule generation.
  • Takagi-Sugeno fuzzy system structure was employed for indoor positioning.
  • The method was integrated into a mobile application for practical use.

Main Results:

  • Experimental data and cross-validation confirmed the method's effectiveness.
  • Type-2 fuzzy logic successfully modeled and managed uncertain Wi-Fi signal information.
  • The subtractive clustering algorithm efficiently identified cluster centers from signal data.
  • The hybrid method demonstrated reliable performance in case studies.

Conclusions:

  • The proposed hybrid intelligent method offers an effective solution for indoor mobile device location.
  • Type-2 fuzzy logic is well-suited for handling noisy signal data in positioning systems.
  • The integration into a mobile application facilitates practical deployment and use.