Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks

Esteban Inga; Roberto Hincapié; Carlos Suárez; Germán Arévalo

doi:10.1109/ColComCon.2015.7152078

Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks

Esteban Inga
, Roberto Hincapié
, Carlos Suárez
, Germán Arévalo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

8 Citas (Scopus)

Resumen

In order to deploy an Electrical Energy Advanced Metering Infrastructure (AMI), Electrical Enterprises traditionally have to rent the infrastructure of a primary Mobile Network Operator (MNO). This paper presents a model for optimizing the Mobile Virtual Network Operator (MVNO) infrastructure employed for the communication between the Central Office with the Smart Meters (SM). It is proposed a model which minimizes the cost of the primary network operator infrastructure and reduces the expenses of the secondary network operator while saves and facilitates the spectrum utilization. The algorithm employed in the optimization model searches the best scenario for the SM clustering with purpose of minimizing the distance among Cellular Base Stations. In this paper the Smart Meters (SM) are considered fixed data terminals placed in Neighborhood Area Networks (NAN) covered by the mobile communications network.

Idioma original	Inglés
Título de la publicación alojada	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings
Editores	Yuli Andrea Rodriguez P
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781479988341
DOI	https://doi.org/10.1109/ColComCon.2015.7152078
Estado	Publicada - 7 jul. 2015
Evento	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Popayan, Colombia Duración: 13 may. 2015 → 15 may. 2015

Serie de la publicación

Nombre	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings

Conferencia

Conferencia	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015
País/Territorio	Colombia
Ciudad	Popayan
Período	13/05/15 → 15/05/15

Nota bibliográfica

Publisher Copyright:
© 2015 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

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10.1109/ColComCon.2015.7152078

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Enlace a la publicación en Scopus

Planeación y Dimensionamiento para Despliegue Óptimo del Sistema de Automatización, Control y Comunicación en Smart Grid
Inga Ortega, E. M. (Investigador principal), Masache Almeida, P. A. (Estudiante Investigador), Suarez Pozo, C. G. (Estudiante Investigador), Ganan Gainza, C. X. (Estudiante Investigador) & Haro Vaca, J. R. (Estudiante Investigador)
22/01/15 → 30/12/15
Proyecto: Investigación y Desarrollo

Citar esto

Inga, E., Hincapié, R., Suárez, C., & Arévalo, G. (2015). Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. En Y. A. Rodriguez P (Ed.), 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings Artículo 7152078 (2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ColComCon.2015.7152078

Inga, Esteban ; Hincapié, Roberto ; Suárez, Carlos et al. / Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings. editor / Yuli Andrea Rodriguez P. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings).

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title = "Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks",

abstract = "In order to deploy an Electrical Energy Advanced Metering Infrastructure (AMI), Electrical Enterprises traditionally have to rent the infrastructure of a primary Mobile Network Operator (MNO). This paper presents a model for optimizing the Mobile Virtual Network Operator (MVNO) infrastructure employed for the communication between the Central Office with the Smart Meters (SM). It is proposed a model which minimizes the cost of the primary network operator infrastructure and reduces the expenses of the secondary network operator while saves and facilitates the spectrum utilization. The algorithm employed in the optimization model searches the best scenario for the SM clustering with purpose of minimizing the distance among Cellular Base Stations. In this paper the Smart Meters (SM) are considered fixed data terminals placed in Neighborhood Area Networks (NAN) covered by the mobile communications network.",

keywords = "advanced metering infrastructure, cellular networks, clustering, mobile virtual network operator, optimization, smart grids",

author = "Esteban Inga and Roberto Hincapi{\'e} and Carlos Su{\'a}rez and Germ{\'a}n Ar{\'e}valo",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 ; Conference date: 13-05-2015 Through 15-05-2015",

year = "2015",

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doi = "10.1109/ColComCon.2015.7152078",

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Inga, E, Hincapié, R, Suárez, C & Arévalo, G 2015, Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. En YA Rodriguez P (ed.), 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings., 7152078, 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015, Popayan, Colombia, 13/05/15. https://doi.org/10.1109/ColComCon.2015.7152078

Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. / Inga, Esteban; Hincapié, Roberto; Suárez, Carlos et al.
2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings. ed. / Yuli Andrea Rodriguez P. Institute of Electrical and Electronics Engineers Inc., 2015. 7152078 (2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Inga, Esteban

AU - Hincapié, Roberto

AU - Suárez, Carlos

AU - Arévalo, Germán

PY - 2015/7/7

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N2 - In order to deploy an Electrical Energy Advanced Metering Infrastructure (AMI), Electrical Enterprises traditionally have to rent the infrastructure of a primary Mobile Network Operator (MNO). This paper presents a model for optimizing the Mobile Virtual Network Operator (MVNO) infrastructure employed for the communication between the Central Office with the Smart Meters (SM). It is proposed a model which minimizes the cost of the primary network operator infrastructure and reduces the expenses of the secondary network operator while saves and facilitates the spectrum utilization. The algorithm employed in the optimization model searches the best scenario for the SM clustering with purpose of minimizing the distance among Cellular Base Stations. In this paper the Smart Meters (SM) are considered fixed data terminals placed in Neighborhood Area Networks (NAN) covered by the mobile communications network.

AB - In order to deploy an Electrical Energy Advanced Metering Infrastructure (AMI), Electrical Enterprises traditionally have to rent the infrastructure of a primary Mobile Network Operator (MNO). This paper presents a model for optimizing the Mobile Virtual Network Operator (MVNO) infrastructure employed for the communication between the Central Office with the Smart Meters (SM). It is proposed a model which minimizes the cost of the primary network operator infrastructure and reduces the expenses of the secondary network operator while saves and facilitates the spectrum utilization. The algorithm employed in the optimization model searches the best scenario for the SM clustering with purpose of minimizing the distance among Cellular Base Stations. In this paper the Smart Meters (SM) are considered fixed data terminals placed in Neighborhood Area Networks (NAN) covered by the mobile communications network.

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KW - cellular networks

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KW - mobile virtual network operator

KW - optimization

KW - smart grids

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PB - Institute of Electrical and Electronics Engineers Inc.

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Inga E, Hincapié R, Suárez C, Arévalo G. Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. En Rodriguez P YA, editor, 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7152078. (2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings). doi: 10.1109/ColComCon.2015.7152078

Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

ODS de las Naciones Unidas

Acceder al documento

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Proyectos

Planeación y Dimensionamiento para Despliegue Óptimo del Sistema de Automatización, Control y Comunicación en Smart Grid

Citar esto