A Time-synchronized Framework for Bluetooth Low Energy Wireless Sensor Networks
Andrea Pignata, Vittorio Fra, Enrico Macii, Gianvito Urgese · 2024
Nowadays, Wireless Sensor Networks (WSNs) are becoming prominent in fields like medicine and automotive industry. A critical requirement for these networks is consistent time-stamping across all sensors, as minor errors can seriously degrade accuracy, but time synchronization can be bandwidth and computation expensive for IoT devices. This paper proposes a framework for acquiring time-synchronized data from multiple BLE-based sensors, easy to implement without additional hardware. Tests demonstrate this solution maintains a synchronization accuracy of up to 10 ms over 24 hours of data streaming. Compared to non-synchronized solutions, it reduces average delay by 42% and maximum delay by 52%.