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Solar-based timekeeping for batteryless devices
Citation Link: https://doi.org/10.15480/882.16007
Publikationstyp
Conference Paper
Date Issued
2025-09-11
Sprache
English
TORE-DOI
Citation
22. GI/ITG KuVS Fachgespräch Sensornetze, FGSN 2025
Contribution to Conference
Publisher DOI
Publisher
Technische Universität Clausthal
The Internet of Things (IoT) is steadily gaining traction, but its reliance on battery power raises significant challenges. To address this, researchers are developing energyharvesting IoT devices that operate on intermittent power, eliminating the need for batteries but complicating accurate timekeeping due to unreliable energy supply. Traditional Real-Time Clocks (RTCs) and synchronization methods are ineffective under such conditions, hindering tasks that require precise timing. We propose timekeeping using TinyML to predict sunrise and sunset based on power usage patterns, enabling autonomous time inference without continuous power or external synchronization. We trained and evaluated multiple lightweight models through simulation and with real hardware, and we demonstrate their potential and shortcomings compared to conventional methods.
DDC Class
621.3: Electrical Engineering, Electronic Engineering
Publication version
publishedVersion
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Name
FGSN25-17-Gosch.pdf
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273.53 KB
Format
Adobe PDF