Optimal Planning for Deployment of FiWi Networks based on Hybrid Heuristic Process

Juan Inga; Esteban Inga; Andres Ortega; Roberto Hincapíé; Cristina Gómez

doi:10.1109/TLA.2017.8015053

Optimal Planning for Deployment of FiWi Networks based on Hybrid Heuristic Process

Título traducido de la contribución: Planificación óptima para la implementación de FiWi Networks basada en un proceso heurístico híbrido

Juan Inga
, Esteban Inga
, Andres Ortega
, Roberto Hincapíé
, Cristina Gómez

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

12 Citas (Scopus)

Resumen

© 2003-2012 IEEE. The deploying of FiWi networks is a problem that occurs often in real situations and requires is simplified through optimal planning. For this work we considered a scenario of urban dwellings with smart meters (SM), devices that need to be managed from a central office (CO) of an electric utility, with a advanced metering infrastructure forming a neighborhood area network (NAN). Therefore, it has raised a heuristic process due to, the a combinatorial problem property. The Heuristics poses the optimum location of cellular base stations (BS) for obtain the wireless connectivity to each smart meter (SM) , the next stage propose the optimal location of a CO with optical fiber link between each BS, and include optical splitters that will be used for each section of fiber to achieve full connectivity of the BS and a the point of metropolitan area network (MAN) equivalent to central office of an electric utility with the minimum cost by optical fiber used.

Título traducido de la contribución	Planificación óptima para la implementación de FiWi Networks basada en un proceso heurístico híbrido
Idioma original	Inglés
Páginas (desde-hasta)	1684-1690
Número de páginas	7
Publicación	IEEE Latin America Transactions
DOI	https://doi.org/10.1109/TLA.2017.8015053
Estado	Publicada - 1 ene. 2017

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Areas de Conocimiento del CACES

216A Diseño y administración de redes y bases de datos

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10.1109/TLA.2017.8015053

Otros archivos y enlaces

Dimensionamiento, Diseño y Optimización de Redes de Última Generación (DIORUG), Brindando Conectividad Masiva a Infraestructuras Heterogéneas de Comunicaciones para Dar una Solución Integral a Smart Grids en el Contexto de 5G
Inga Ortega, J. P. (Investigador principal), Ortega Ortega, A. L. (Investigador principal), Jara Saltos, J. D. (Investigador Secundario), Peralta Sevilla, A. G. (Investigador Secundario), Pesantez Piedra, I. A. (Estudiante Investigador), Vicuña Egues, M. V. (Estudiante Investigador), Crespo Carreño, A. B. (Estudiante Investigador), Cedillo Mendoza, N. D. (Estudiante Investigador), Sari Uguña, C. J. (Estudiante Investigador) & Marca Guaraca, C. R. (Estudiante Investigador)
27/04/17 → 27/05/21
Proyecto: Investigación y Desarrollo
Modelo de Consumo y Cargabilidad de Vehículos Eléctricos Basado en Medición Inteligente de Energía Eléctrica
Inga Ortega, E. M. (Investigador principal), Garcia Torres, E. M. (Investigador Secundario), Campaña Molina, M. A. (Estudiante Investigador), Santacruz Carcelen, E. G. (Estudiante Investigador), Andrade Montoya, P. A. (Estudiante Investigador) & Arciniega Calderon, M. A. (Estudiante Investigador)
1/01/17 → 31/12/17
Proyecto: Investigación y Desarrollo

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Optimal Planning for Deployment of FiWi Networks based on Hybrid Heuristic Process

Resumen

ODS de las Naciones Unidas

Areas de Conocimiento del CACES

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Dimensionamiento, Diseño y Optimización de Redes de Última Generación (DIORUG), Brindando Conectividad Masiva a Infraestructuras Heterogéneas de Comunicaciones para Dar una Solución Integral a Smart Grids en el Contexto de 5G

Modelo de Consumo y Cargabilidad de Vehículos Eléctricos Basado en Medición Inteligente de Energía Eléctrica

Citar esto