Minimizing the Carbon Footprint in LoRa-Based IoT Networks: A Machine Learning Perspective on Gateway Positioning
- DOI
- 10.1109/ojcs.2025.3559331
- Published
- 2025
- Container
- IEEE Open Journal of the Computer Society
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/ojcs.2025.3559331,
title = {Minimizing the Carbon Footprint in LoRa-Based IoT Networks: A Machine Learning Perspective on Gateway Positioning},
author = {Francisco-Jose Alvarado-Alcon and Rafael Asorey-Cacheda and Antonio-Javier Garcia-Sanchez and Joan Garcia-Haro},
year = {2025},
journal = {IEEE Open Journal of the Computer Society},
doi = {10.1109/ojcs.2025.3559331},
url = {https://doi.org/10.1109/ojcs.2025.3559331}
}RIS
TY - JOUR TI - Minimizing the Carbon Footprint in LoRa-Based IoT Networks: A Machine Learning Perspective on Gateway Positioning AU - Francisco-Jose Alvarado-Alcon AU - Rafael Asorey-Cacheda AU - Antonio-Javier Garcia-Sanchez AU - Joan Garcia-Haro PY - 2025 JO - IEEE Open Journal of the Computer Society DO - 10.1109/ojcs.2025.3559331 UR - https://doi.org/10.1109/ojcs.2025.3559331 ER -
APA
Alvarado-Alcon, F., Asorey-Cacheda, R., Garcia-Sanchez, A., & Garcia-Haro, J. (2025). Minimizing the Carbon Footprint in LoRa-Based IoT Networks: A Machine Learning Perspective on Gateway Positioning. IEEE Open Journal of the Computer Society. https://doi.org/10.1109/ojcs.2025.3559331
Source records
- crossref · retrieved 2026-09-25T01:47:26.450Z