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pro vyhledávání: '"Julian Cardenas Barrera"'
Autor:
Carlos Lester Duenas Santos, Ahmad Mohamad Mezher, Juan Pablo Astudillo León, Julian Cardenas Barrera, Eduardo Castillo Guerra, Julian Meng
Publikováno v:
Sensors, Vol 24, Iss 15, p 4818 (2024)
Efficient and reliable data routing is critical in Advanced Metering Infrastructure (AMI) within Smart Grids, dictating the overall network performance and resilience. This paper introduces Q-RPL, a novel Q-learning-based Routing Protocol designed to
Externí odkaz:
https://doaj.org/article/59e8fe2c0f384f0092be0ce33d1f897f
Autor:
Carlos Lester Duenas Santos, Ahmad Mohamad Mezher, Juan Pablo Astudillo Leon, Julian Cardenas Barrera, Eduardo Castillo Guerra, Julian Meng
Publikováno v:
IEEE Access, Vol 11, Pp 57401-57414 (2023)
This research explores the potential of Machine Learning (ML) to enhance wireless communication networks, specifically in the context of Wireless Smart Grid Networks (WSGNs). We integrated ML into the well-established Routing Protocol for Low-Power a
Externí odkaz:
https://doaj.org/article/c44f0a31f2f447f0bbf5fcd63bb469ec
Autor:
Saleh A. Saleh, Danielle Jewett, Ahmed Al-Durra, Saikrishna Kanukollu, Julian Cardenas-Barrera, Marcelo E. Valdes, Julian Meng, Sergio A. R. Panetta
Publikováno v:
IEEE Transactions on Industry Applications. 58:5987-6001
Autor:
Carlos Lester Duenas Santos, Juan Pablo Astudillo León, Ahmad Mohamad Mezher, Julian Cardenas Barrera, Julian Meng, Eduardo Castillo Guerra
Publikováno v:
Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks on 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks.