Modeling of path loss for radio wave propagation in wireless sensor networks in cassava crops using machine learning

Modeling radio signal propagation remains one of the most critical tasks in the planning of wireless communication systems, including wireless sensor networks (WSN). Despite the existence of a considerable number of propagation models, the studies aimed at characterizing the attenuation in the wirel...

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Autores:

Barrios-Ulloa, Alexis
Cama-Pinto, Alejandro
De-La-Hoz-Franco, Emiro
Ramírez-Velarde, Raúl
Cama-Pinto, Dora

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10944

Acceso en línea:

https://hdl.handle.net/11323/10944
https://repositorio.cuc.edu.co/

Palabra clave:

Agriculture
Cassava crops
Machine learning
Radio wave propagation models
Wireless sensor networks

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)