Low power event detection on microcontrollers

An Empirical Evaluation and Hierarchical Sensing Pipeline

Bachelor Thesis (2026)
Author(s)

Z. Corbanie (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

M.A. Zuñiga Zamalloa – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

H. Liu – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J.M. Weber – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2026
Language
English
Graduation Date
23-06-2026
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Embedded sensing systems relying on energy harvesting — such as electromagnetic radiation, thermoelectric energy, and kinetic energy — generally are not able to harvest sufficient power to function under normal operations for most devices, and thus operate under severe power constraints. To ensure sustainable, battery free functionality, the microcontroller (MCU) must remain at a low power deep sleep state during idle periods. It is woken up by a sensor, sending an external hardware interrupt when an environmental event occurs. However, there is a trade off between a sensor’s power consumption, detection range, accuracy, and latency. This paper presents two primary contributions: 1) An empirical evaluation of various sensor wake up systems. 2) The design and implementation of a multi stage hierarchical event detection pipeline. This pipeline consists of an ultra low power coarse sensor that activates a high accuracy, but higher power sensor, minimizing the current draw while staying reliable.

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