A reinforcement learning-driven adaptive hybrid PLC-RF communication architecture for IoT-based smart metering systems
- DOI
- 10.1038/s41598-026-65952-0
- Published
- 2026-08-22
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-65952-0,
title = {A reinforcement learning-driven adaptive hybrid PLC-RF communication architecture for IoT-based smart metering systems},
author = {Noor El-Deen M. Mohamed and Mahmoud A. Shafea and Alaa M. Yousry and Mohamed M. El-Dakroury},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-65952-0},
url = {https://doi.org/10.1038/s41598-026-65952-0}
}RIS
TY - JOUR TI - A reinforcement learning-driven adaptive hybrid PLC-RF communication architecture for IoT-based smart metering systems AU - Noor El-Deen M. Mohamed AU - Mahmoud A. Shafea AU - Alaa M. Yousry AU - Mohamed M. El-Dakroury PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-65952-0 UR - https://doi.org/10.1038/s41598-026-65952-0 ER -
APA
Mohamed, N. E. M., Shafea, M. A., Yousry, A. M., & El-Dakroury, M. M. (2026). A reinforcement learning-driven adaptive hybrid PLC-RF communication architecture for IoT-based smart metering systems. Scientific Reports. https://doi.org/10.1038/s41598-026-65952-0
Source records
- crossref · retrieved 2026-09-25T20:25:32.187Z