Distributed Architecture Proposal for Efficient Energy Management of Road Lighting in Urban Environments

Juan José Sáenz-Peñafiel, Jose Luis Poza-Lujan (Autor de correspondencia), Juan Luis Posadas-Yagüe

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The energy management in urban and interurban lighting is currently, mainly, based on a centralised or clustered model. The control is mainly based on the level of brightness needed to circulate, without taking into account the presence or not of pedestrians or vehicles. This thesis proposes to review the solutions implemented and to use the Industry 4.0 paradigm as a basis for the design of a highly distributed architecture that efficiently controls the lighting of the roads of urban environments, and is extensible to interurban environments. As results it is expected to be able to verify the hypothesis of, how the distribution of the intelligence at the level of control node, together with the communication between nearby control nodes, allows to optimise the consumption in front of the current solutions.

Idioma originalInglés
Título de la publicación alojadaDistributed Computing and Artificial Intelligence, Volume 2
Subtítulo de la publicación alojadaSpecial Sessions 18th International Conference
EditoresSara Rodríguez González, José Manuel Machado, Alfonso González-Briones, Jaroslaw Wikarek, Roussanka Loukanova, George Katranas, Roberto Casado-Vara
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas194-197
Número de páginas4
ISBN (versión impresa)9783030868864
DOI
EstadoPublicada - 2022
Evento18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021 - Salamanca, Espana
Duración: 6 oct. 20218 oct. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen332
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021
País/TerritorioEspana
CiudadSalamanca
Período6/10/218/10/21

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