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Related Experiment Video

Updated: Dec 11, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

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Indoor Positioning System Based on Fuzzy Logic and WLAN Infrastructure.

Jaromir Hrad¹, Lukas Vojtech¹, Martin Cihlar¹

¹Department of Telecommunications Engineering, Czech Technical University in Prague, Technická 2, 166 27 Praha 6, Czech Republic.

Sensors (Basel, Switzerland)

|August 16, 2020

Summary

Accurate indoor mobile device localization is achieved using Wi-Fi fingerprinting and a novel fuzzy logic algorithm. This system enhances positioning in healthcare and crisis management scenarios, achieving room-level accuracy.

Keywords:

fuzzy logic indoor positioning localization wireless networks

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Area of Science:

Computer Science
Electrical Engineering
Ubiquitous Computing

Background:

Mobile device localization indoors is crucial for applications like healthcare and crisis management.
Existing Wi-Fi fingerprinting methods face challenges with multipath propagation and device-specific Wi-Fi adapter sensitivities.
Accurate indoor positioning remains a significant technical hurdle.

Purpose of the Study:

To develop and evaluate a mobile device localization system using Wi-Fi fingerprinting within buildings.
To address signal propagation and device calibration issues impacting localization accuracy.
To optimize indoor positioning performance for healthcare and crisis management applications.

Main Methods:

Developed a localization system leveraging existing wireless Local Area Network (LAN) infrastructure (Wi-Fi).
Employed the fingerprinting method, analyzing signal strength from multiple access points.
Integrated a fuzzy logic algorithm to mitigate multipath effects and device sensitivity variations.
Built the system using Java for Android, a fuzzy derivation model, and a web surveillance interface.

Main Results:

The developed Wi-Fi based localization system achieved satisfactory average accuracy for room-level positioning.
The fuzzy logic algorithm effectively optimized localization performance by addressing signal propagation and calibration issues.
The system was successfully implemented and tested on Android mobile devices.

Conclusions:

The proposed fuzzy logic-enhanced Wi-Fi localization system provides a viable solution for indoor positioning.
The system demonstrates practical applicability in critical sectors like healthcare and crisis management.
Room-level localization accuracy is achievable with the developed approach.