Wireless Sensor Network Based Localization for Enhanced Device Tracking in Healthcare Environments

The growing demand for accurate, real-time indoor positioning in healthcare environments has led to the exploration of alternative localization technologies beyond traditional GPS. Hospitals face the challenge of tracking mobile diagnostic equipment and coordinating personnel under tight operational constraints. This paper presents a practical implementation of an indoor positioning system (IPS) within an outpatient medical facility in Hungary, designed to track the movement of a shared mobile ultrasound device. Three technologies were investigated: Wi-Fi (using RSSI fingerprinting), Bluetooth Low Energy (BLE) beacons, and Ultra-Wideband (UWB) with ToF-based trilateration. All solutions were implemented using ESP32 microcontrollers, supported by custom Arduino code and MATLAB for data analysis. Results show significant differences in accuracy and reliability, with UWB proving superior for precision-demanding medical use cases.

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Publication Details

Journal
Analecta Technica Szegedinensia
Published
2025-05-15
DOI
https://doi.org/10.14232/analecta.2025.1.1-8
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

Wireless Sensor Network Based Localization for Enhanced Device Tracking in Healthcare Environments

László Gogolák
Analecta Technica Szegedinensia
Indoor and Outdoor Localization Technologies
article

Wireless Sensor Network Based Localization for Enhanced Device Tracking in Healthcare Environments

László Gogolák
article en

Abstract

The growing demand for accurate, real-time indoor positioning in healthcare environments has led to the exploration of alternative localization technologies beyond traditional GPS. Hospitals face the challenge of tracking mobile diagnostic equipment and coordinating personnel under tight operational constraints. This paper presents a practical implementation of an indoor positioning system (IPS) within an outpatient medical facility in Hungary, designed to track the movement of a shared mobile ultrasound device. Three technologies were investigated: Wi-Fi (using RSSI fingerprinting), Bluetooth Low Energy (BLE) beacons, and Ultra-Wideband (UWB) with ToF-based trilateration. All solutions were implemented using ESP32 microcontrollers, supported by custom Arduino code and MATLAB for data analysis. Results show significant differences in accuracy and reliability, with UWB proving superior for precision-demanding medical use cases.

Analecta Technica SzegedinensiaVol. 19(1)
University of Szeged (HU)
Openalex Percentile: Top 89%
Indoor and Outdoor Localization Technologies
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