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

Research output: Chapter in Book/Report/Conference proceeding › Conference and proceedings › peer-review

7 Scopus citations

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.

Original language	English
Title of host publication	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings
Editors	Yuli Andrea Rodriguez P
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479988341
DOIs	https://doi.org/10.1109/ColComCon.2015.7152078
State	Published - 7 Jul 2015
Event	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Popayan, Colombia Duration: 13 May 2015 → 15 May 2015

Publication series

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

Conference

Conference	2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015
Country/Territory	Colombia
City	Popayan
Period	13/05/15 → 15/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

advanced metering infrastructure
cellular networks
clustering
mobile virtual network operator
optimization
smart grids

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ColComCon.2015.7152078

Cite this

Inga, E., Hincapié, R., Suárez, C., & Arévalo, G. (2015). Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. In Y. A. Rodriguez P (Ed.), 2015 IEEE Colombian Conference on Communications and Computing, COLCOM 2015 - Conference Proceedings Article 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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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",

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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference and proceedings › peer-review

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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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Inga E, Hincapié R, Suárez C, Arévalo G. Shortest path for optimal routing on Advanced Metering Infrastructure using cellular networks. In 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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Cite this