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Published on: November 15, 2016
Wi-Fi-Based Effortless Indoor Positioning System Using IoT Sensors.
Muhammad Usman Ali1, Soojung Hur2, Yongwan Park3
1Department of Information and Communication Engineering, Yeungnam Univeristy, Gyeongsan, Gyeongbuk 38541, Korea. musmanali@ynu.ac.kr.
This study introduces an automatic indoor positioning system using Wi-Fi Internet-of-Things (IoT) sensors. It eliminates laborious site surveys by generating radio maps, achieving 2m accuracy comparable to traditional methods.
Area of Science:
- Computer Science
- Electrical Engineering
- Robotics
Background:
- Wi-Fi fingerprinting is a common indoor positioning technology.
- The offline calibration phase is time-consuming and costly.
- Existing methods require detailed environmental maps.
Purpose of the Study:
- To develop an automated indoor positioning system.
- To reduce the effort and cost associated with site surveys.
- To enable dynamic radio map generation and updates.
Main Methods:
- Utilized Wi-Fi compatible Internet-of-Things (IoT) sensors.
- Automatically estimated propagation loss parameters from sensor feedback.
- Leveraged raster maps with basic wall information, avoiding complex vector maps.
- Periodically updated radio maps without physical intervention.
Main Results:
- Achieved an average positioning accuracy of 2 meters.
- Demonstrated comparable performance to survey-based Wi-Fi fingerprinting.
- Successfully generated radio maps automatically.
Conclusions:
- The proposed system offers an efficient and cost-effective solution for indoor positioning.
- Automatic radio map generation significantly reduces calibration effort.
- The system provides accurate positioning using simplified environmental data.

