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Methods for Increasing the Energy Efficiency of Edge Devices in IoT Networks

https://doi.org/10.35596/1729-7648-2026-24-1-83-90

Abstract

This article examines methods for improving the energy efficiency of IoT edge devices, including hardware solutions, wireless powering via Wi-Fi, communication protocols, energy management algorithms, and the use of renewable energy sources. A hybrid power system architecture is proposed, and an adaptive control sequence algorithm is developed as a diagram. Together, these factors ensure efficient power supply to IoT system sensors. The main challenge was identifying the high nonlinearity of the rectifier system impedance, which depends on the input power, frequency, and DC-DC converter parameters, making traditional approaches to mat­ ching circuits ineffective over the wide Wi-Fi frequency band.

About the Author

A. Andreichuk
Belarusian State University of Informatics and Radioelectronics
Belarus

Andreichuk Aliaksandr -Postgraduate of the Department of Information Radiotechnologies

220013, Minsk, P. Brovki St., 6

Tel.: +375 33 340-12-20 



References

1. Lu X., Pi Guo (2016) Wireless Charging Technologies: Fundamentals, Standards, and Network Applications. IEEE Communications Surveys & Tutorials. 18 (4), 1413–1452.

2. Lavric A., Petrariu A. (2019) Long Range (LoRa) Low-Power WANs for Internet of Things: A Review. IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR): Conference Proceedings. Cluj-Napoca, Romania. 1–9. https://onlinelibrary.wiley.com/doi/epdf/10.1155/2019/3502987.

3. Benini L., Bogliolo A., De Micheli G. (2000) A Survey of Design Techniques for System-Level Dynamic Power Management. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 8 (3).

4. ESP32 Technical Reference Manual. Available: https://www.espressif.com/sites/default/files/documentation/esp32_technical_reference_manual_en.pdf (Accessed 4 November 2025).


Review

For citations:


Andreichuk A. Methods for Increasing the Energy Efficiency of Edge Devices in IoT Networks. Doklady BGUIR. 2026;24(1):83-90. (In Russ.) https://doi.org/10.35596/1729-7648-2026-24-1-83-90

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)