TY - GEN
T1 - Distributed Architecture Proposal for Efficient Energy Management of Road Lighting in Urban Environments
AU - Sáenz-Peñafiel, Juan José
AU - Poza-Lujan, Jose Luis
AU - Posadas-Yagüe, Juan Luis
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85115376659
U2 - 10.1007/978-3-030-86887-1_19
DO - 10.1007/978-3-030-86887-1_19
M3 - Contribución a la conferencia
AN - SCOPUS:85115376659
SN - 9783030868864
T3 - Lecture Notes in Networks and Systems
SP - 194
EP - 197
BT - Distributed Computing and Artificial Intelligence, Volume 2
A2 - González, Sara Rodríguez
A2 - Machado, José Manuel
A2 - González-Briones, Alfonso
A2 - Wikarek, Jaroslaw
A2 - Loukanova, Roussanka
A2 - Katranas, George
A2 - Casado-Vara, Roberto
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021
Y2 - 6 October 2021 through 8 October 2021
ER -