Keywords
How to Cite
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.
References
AN5652 How to optimize power consumption on STM32U5 MCUs. (n.d.). Retrieved from Application note; STMicroelectronics.
Belkharroubi, L. K. (2022, September). Solving the energyefficient robotic mixed-model assembly line balancing problem using a memory-based cuckoo search algorithm. Engineering applications of artificial intelligence.
Bertran, R., B. A. (2012). Systematic Energy Characterization of CMP/SMT Processor Systems via Automated Micro-
Benchmarks. 45th Annual IEEE/ACM International Symposium on Microarchitecture.
Microvisor and STM32U5, The Best Performance-per-Watt MCU, 1st to Support a New IoT Development Paradigm. (2021, February 25). Retrieved from https://blog.st.com/stm32u5-microvisor/
Nilakantan, J. M. (2015, March 1). An investigation on minimizing cycle time and total energy consumption in robotic assembly line systems. Journal of cleaner production.
Rehab Seif ElMolouk, A. M.-K. (2025, April 17). Optimization of time and energy in straight one-sided robotic assembly lines. Scientific Reports.
STM32U575xx Ultra-low- -M33 32-bit M (n.d.). Retrieved from Datasheet - production data; STMicroelectronics. (n.d.). Retrieved
from the Embedded Microprocessor Benchmark Consortium: https://www.eembc.org/ulpmark/
X-NUCLEO-LPM01A STM32 Nucleo expansion board for power consumption measurement. (n.d.). Retrieved from Data brief; STMicroelectronics.