Traffic Model for Narrow Band Power Line Communications Networks

Lizeth D.H. Cortes; Jhon J. Padilla

doi:10.1109/ANDESCON.2018.8564643

Traffic Model for Narrow Band Power Line Communications Networks

Lizeth D.H. Cortes, Jhon J. Padilla

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

Resumen

Today, Internet of Things is an important topic in Research. One key technology for IoT development is PLC (Power Line Communications), which is widely used in Domotic Networks. Although PLC for low voltage networks have been studied widely in physical layer aspects, one important theorical lack of this studies is the abscence of traffic models for these networks. Then, there are no models that allows dimentioning in such scenarios. With the aim to improve this situation, we have performed a study with a Narrow Band PLC Low Voltage Network. In this work, we have performed traffic measurements, and we obtained that this system can be modeled as a Poisson traffic model, which allows PLC networks dimentioning in a simple way.

Idioma original	Inglés
Título de la publicación alojada	2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings
Editores	Jose David Cely Callejas
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781538683729
DOI	https://doi.org/10.1109/ANDESCON.2018.8564643
Estado	Publicada - 5 dic. 2018
Evento	9th IEEE ANDESCON, ANDESCON 2018 - Cali, Colombia Duración: 22 ago. 2018 → 24 ago. 2018

Serie de la publicación

Nombre	2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings

Conferencia

Conferencia	9th IEEE ANDESCON, ANDESCON 2018
País/Territorio	Colombia
Ciudad	Cali
Período	22/08/18 → 24/08/18

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© 2018 IEEE.

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Cortes, L. D. H., & Padilla, J. J. (2018). Traffic Model for Narrow Band Power Line Communications Networks. En J. D. C. Callejas (Ed.), 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings Artículo 8564643 (2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANDESCON.2018.8564643

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title = "Traffic Model for Narrow Band Power Line Communications Networks",

abstract = "Today, Internet of Things is an important topic in Research. One key technology for IoT development is PLC (Power Line Communications), which is widely used in Domotic Networks. Although PLC for low voltage networks have been studied widely in physical layer aspects, one important theorical lack of this studies is the abscence of traffic models for these networks. Then, there are no models that allows dimentioning in such scenarios. With the aim to improve this situation, we have performed a study with a Narrow Band PLC Low Voltage Network. In this work, we have performed traffic measurements, and we obtained that this system can be modeled as a Poisson traffic model, which allows PLC networks dimentioning in a simple way.",

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author = "Cortes, {Lizeth D.H.} and Padilla, {Jhon J.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th IEEE ANDESCON, ANDESCON 2018 ; Conference date: 22-08-2018 Through 24-08-2018",

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doi = "10.1109/ANDESCON.2018.8564643",

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Cortes, LDH & Padilla, JJ 2018, Traffic Model for Narrow Band Power Line Communications Networks. En JDC Callejas (ed.), 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings., 8564643, 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 9th IEEE ANDESCON, ANDESCON 2018, Cali, Colombia, 22/08/18. https://doi.org/10.1109/ANDESCON.2018.8564643

Traffic Model for Narrow Band Power Line Communications Networks. / Cortes, Lizeth D.H.; Padilla, Jhon J.
2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings. ed. / Jose David Cely Callejas. Institute of Electrical and Electronics Engineers Inc., 2018. 8564643 (2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - Traffic Model for Narrow Band Power Line Communications Networks

AU - Cortes, Lizeth D.H.

AU - Padilla, Jhon J.

PY - 2018/12/5

Y1 - 2018/12/5

N2 - Today, Internet of Things is an important topic in Research. One key technology for IoT development is PLC (Power Line Communications), which is widely used in Domotic Networks. Although PLC for low voltage networks have been studied widely in physical layer aspects, one important theorical lack of this studies is the abscence of traffic models for these networks. Then, there are no models that allows dimentioning in such scenarios. With the aim to improve this situation, we have performed a study with a Narrow Band PLC Low Voltage Network. In this work, we have performed traffic measurements, and we obtained that this system can be modeled as a Poisson traffic model, which allows PLC networks dimentioning in a simple way.

AB - Today, Internet of Things is an important topic in Research. One key technology for IoT development is PLC (Power Line Communications), which is widely used in Domotic Networks. Although PLC for low voltage networks have been studied widely in physical layer aspects, one important theorical lack of this studies is the abscence of traffic models for these networks. Then, there are no models that allows dimentioning in such scenarios. With the aim to improve this situation, we have performed a study with a Narrow Band PLC Low Voltage Network. In this work, we have performed traffic measurements, and we obtained that this system can be modeled as a Poisson traffic model, which allows PLC networks dimentioning in a simple way.

KW - Data Networks

KW - Domotic

KW - IoT

KW - Performance

KW - Traffic model

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M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85060383562

T3 - 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings

BT - 2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings

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T2 - 9th IEEE ANDESCON, ANDESCON 2018

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Traffic Model for Narrow Band Power Line Communications Networks

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