Energy-efficient signal processing for IoT applications with STM32 and X-Nucleo-LPM01A

The article addresses the topic of energy optimization in Internet of Things (IoT) applications, focusing on the use of the STM32U575ZI microcontroller and the X-Nucleo-LPM01A expansion board. In the context of battery-powered IoT devices, such as wearable gadgets or monitoring systems, minimizing energy consumption is crucial to ensure long-lasting operation. The STM32U575ZI microcontroller, with its advanced low-power modes, adaptive voltage management and energy-efficient peripherals, enables significant reductions in energy demand. The X-Nucleo-LPM01A board facilitates precise measurements of energy consumption across various operational scenarios of the microcontroller, supporting optimization processes. ULPMark benchmarks confirm the high energy efficiency of the STM32U5 in both sleep mode and active operation. Tests involving digital signal processing demonstrate that the microcontroller effectively handles complex computational tasks while minimizing energy consumption. The applied techniques validate that the STM32U575ZI and X-Nucleo LPM01A represent an excellent solution for IoT applications requiring long-term battery operation.

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Publication Details

Journal
Technologia i Automatyzacja Montażu
Published
2025-01-01
DOI
https://doi.org/10.7862/tiam.2025.2.6
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy-efficient signal processing for IoT applications with STM32 and X-Nucleo-LPM01A

Marek Ostrysz
Technologia i Automatyzacja Montażu
IoT-based Smart Home Systems
article

Energy-efficient signal processing for IoT applications with STM32 and X-Nucleo-LPM01A

Marek Ostrysz
article en

Abstract

The article addresses the topic of energy optimization in Internet of Things (IoT) applications, focusing on the use of the STM32U575ZI microcontroller and the X-Nucleo-LPM01A expansion board. In the context of battery-powered IoT devices, such as wearable gadgets or monitoring systems, minimizing energy consumption is crucial to ensure long-lasting operation. The STM32U575ZI microcontroller, with its advanced low-power modes, adaptive voltage management and energy-efficient peripherals, enables significant reductions in energy demand. The X-Nucleo-LPM01A board facilitates precise measurements of energy consumption across various operational scenarios of the microcontroller, supporting optimization processes. ULPMark benchmarks confirm the high energy efficiency of the STM32U5 in both sleep mode and active operation. Tests involving digital signal processing demonstrate that the microcontroller effectively handles complex computational tasks while minimizing energy consumption. The applied techniques validate that the STM32U575ZI and X-Nucleo LPM01A represent an excellent solution for IoT applications requiring long-term battery operation.

Technologia i Automatyzacja MontażuVol. 128(2)
Military University of Technology in Warsaw (PL)
Openalex Percentile: Top 87%
IoT-based Smart Home Systems
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