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Design and Analysis of a Hybrid LiFi-Based IoT System with RF Energy Harvesting for Enhanced Power Management

Authors

  • Ammar Afzal

    Government College University Faisalabad, Faisalabad, Pakistan
    Author

  • Umer Ijaz

    Government College University Faisalabad, Faisalabad, Pakistan
    Author

  • Muhammad Farhan

    Government College University Faisalabad, Faisalabad, Pakistan
    Author

DOI:

https://doi.org/10.22581/muet1982.0479

Keywords:

LiFi, IoT, RF Energy Harvesting, BER, Energy Efficiency, SNR

Abstract

This research paper describes the detailed design of a hybrid system comprising of Light Fidelity (LiFi) communication and Radio Frequency energy harvesting (RFEH) to serve the Internet of Things (IoT) devices. The system developed is aimed at resolving the essential concerns of the viable transmission of data, energy efficiency, and sustainable functioning of extensive IoT systems. This study tested the main performance indicators, including the Signal-to-Noise Ratio (SNR), Bit Error Rate (BER), energy harvesting (EH) efficiency, and power sharing strategies of several IoT devices, through MATLAB simulations. Solar EH also promotes the ability of the system to satisfy the requirements of the IoT power needs. The comparative analysis to industry standards shows significant performance improvements, which makes the system a sustainable solution in the case of IoT implementation in energy-limited environments. The results validate the design by achieving improved BER performance, enhanced data rate adaptability, and reliable IoT operation under varying energy conditions.

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References

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Published

2026-07-01

Issue

Vol. 45 No. 3 (2026): July Issue

Section

Articles

License

Copyright (c) 2026 Mehran University Research Journal of Engineering and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Design and Analysis of a Hybrid LiFi-Based IoT System with RF Energy Harvesting for Enhanced Power Management. (2026). Mehran University Research Journal of Engineering and Technology, 45(3), 37-45. https://doi.org/10.22581/muet1982.0479

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