Skip to main navigation menu Skip to main content Skip to site footer

Information technologies and systems

August 1, 2025; Seoul, South Korea: VI International Scientific and Practical Conference «THEORETICAL AND PRACTICAL ASPECTS OF MODERN SCIENTIFIC RESEARCH»


MODERN APPROACHES TO ENERGY OPTIMIZATION IN IOT DEVICES USING HYBRID POWER SUPPLIES


DOI
https://doi.org/10.36074/logos-01.08.2025.020
Published
01.08.2025

Abstract

In today's Internet of Things (IoT) development paradigm, energy efficiency is of particular importance. A significant proportion of devices in this ecosystem operate under limited power supply, bringing autonomy, reliability, and sustainable energy provision to the forefront. Consequently, current research focuses on combining energy-efficient hardware with intelligent control systems and, above all, hybrid power supplies capable of adaptively responding to changing environmental conditions.

References

  1. Rabah, S., Zaier, A., Sendra, S., Lloret, J., & Dahman, H. (2025). Optimizing IoT network lifetime through an enhanced hybrid energy harvesting system. Sustainable Computing: Informatics and Systems, 46, 101081. https://doi.org/10.1016/j.suscom.2025.101081
  2. Rao, C. K., Sahoo, S. K., & Yanine, F. F. (2023). A literature review on an IoT-based intelligent smart energy management systems for PV power generation. Hybrid Advances, 100136. https://doi.org/10.1016/j.hybadv.2023.100136
  3. Tasmant, H., Bossoufi, B., Alaoui, C., & Siano, P. (2025). A review of machine learning and IoT-based energy management systems for AC microgrids. Computers and Electrical Engineering, 127(A), 110563. https://doi.org/10.1016/j.compeleceng.2025.110563
  4. Preethi, Ulla, M. M., R, S., Devadas, R., Priya & B J, A. (2025). Green IoT: AI-Powered Solutions for Sustainable Energy Management in Smart Devices. Procedia Computer Science, 258, 2312–2322. https://doi.org/10.1016/j.procs.2025.04.486
  5. Sharma, S. K., AlGhamdi, R., Alasmari, S., Sharma, N. K., Khan, H., & Ahmad, F. (2024). Fractional order PID controllers for collaborative energy management in IoT-Smart cities: Hybrid optimization algorithms for demand. Energy Reports, 12, 5551–5566. https://doi.org/10.1016/j.egyr.2024.11.038
  6. Nguyen, T. T., Le, M. T., Nguyen, Q. D., Nguyen, Q. C., & Nguyen, K. (2025). A compact self-powered wearable IoT device for vital sign monitoring using hybrid energy harvesting sources and miniaturized EBG. Results in Engineering, 27, 105879. https://doi.org/10.1016/j.rineng.2025.105879
  7. Fazal, M. N., Altamimi, A., Kazmi, S. A. A., Khan, Z. A., & Asfand, F. (2025). A Sustainable Energy Management Evaluation and Decision-Making Framework of Hybrid Solar Geyser-Stove System in Domestic buildings. Results in Engineering, 105834. https://doi.org/10.1016/j.rineng.2025.105834
  8. Storchak, K., Zavatskyi, V., & Bilavka, V. (2025). Using artificial intelligence in anomaly detection to improve the efficiency of telecommunications networks. Connectivity, 174(2), 59–65. https://doi.org/10.31673/2412-9070.2025.025596