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An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
Manuel Castillo-Cara1,2, Jesús Lovón-Melgarejo3, Gusseppe Bravo-Rocca4
1Computer Science School, Sciences Faculty, Center of Information and Communication Technologies, Universidad Nacional de Ingeniería, Lima 25, Peru. mcastillo@uni.edu.pe.
Sensors (Basel, Switzerland)
|June 8, 2017
Summary
This study optimizes Bluetooth Low Energy 4.0 (BLE4.0) indoor localization by tuning Received Signal Strength Indication (RSSI) fingerprints. Customizing beacon transmission power significantly enhances localization accuracy for consumer services.
Area of Science:
- * Wireless communication and sensor networks.
- * Signal processing and machine learning for localization.
Background:
- * Growing demand for accurate indoor localization systems for consumer applications.
- * Received Signal Strength Indication (RSSI) based localization is a widely explored wireless mechanism.
- * Existing research often focuses on device/network capabilities or general parameter tuning.
Purpose of the Study:
- * To investigate and optimize the Received Signal Strength Indication (RSSI) fingerprint for Bluetooth Low Energy 4.0 (BLE4.0) localization.
- * To evaluate the impact of transmission power levels on RSSI fingerprint relevance.
- * To improve localization accuracy through tailored beacon configurations.
Main Methods:
- * Assessed capabilities of two Bluetooth sensor/receiver devices.
- * Employed feature selection techniques to evaluate RSSI fingerprint relevance from BLE4.0 beacons at various transmission powers.
- * Utilized two classification algorithms to optimize beacon transmission power levels.
Main Results:
- * Identified the relevance of RSSI fingerprint components for localization accuracy.
- * Demonstrated that feature selection effectively guides the tuning of transmission power levels.
- * Showcased significant improvements in localization accuracy through customized transmission power settings.
Conclusions:
- * Tuning RSSI fingerprints by adjusting BLE4.0 beacon transmission power is crucial for accurate indoor localization.
- * A holistic approach, including feature selection and classification, optimizes localization performance.
- * The proposed method offers a practical enhancement for BLE4.0-based indoor positioning systems.
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