"Tour de France" data for the improvement ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
"Tour de France" data for the improvement of energy consumption in devices powered by limited energy sources
Author(s) :
Hamzaoui, Khalil Ibrahim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université Mohammed Premier [Oujda]
Dahmani, Soufiane [Auteur]
Université Mohammed Premier [Oujda]
Boulet, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université Mohammed Premier [Oujda]
Dahmani, Soufiane [Auteur]
Université Mohammed Premier [Oujda]
Boulet, Pierre [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Journal title :
Data in Brief
Pages :
106334
Publisher :
Elsevier
Publication date :
2020
ISSN :
2352-3409
English keyword(s) :
Energy Consumption
Collection of Data
Internet of Things
Data Processing
Collection of Data
Internet of Things
Data Processing
HAL domain(s) :
Informatique [cs]/Systèmes embarqués
Informatique [cs]/Informatique mobile
Informatique [cs]/Informatique mobile
English abstract : [en]
In this article we propose a dataset about the energy consumption of mobile devices that was collected as part of a "Tour de France" with an electrical wheelchair. Part of these data were used to propose a mathematical ...
Show more >In this article we propose a dataset about the energy consumption of mobile devices that was collected as part of a "Tour de France" with an electrical wheelchair. Part of these data were used to propose a mathematical model based on an experimental methodology of the energy consumed in smartphones. Based on these precise measurements in a real environment, we have elaborated predictive models of energy consumption. The objective of this paper is to make accessible the data related to these publications to other researchers in several fields of science (computer science, telecommunications, meteorological science, artificial intelligence, statistics ...).Show less >
Show more >In this article we propose a dataset about the energy consumption of mobile devices that was collected as part of a "Tour de France" with an electrical wheelchair. Part of these data were used to propose a mathematical model based on an experimental methodology of the energy consumed in smartphones. Based on these precise measurements in a real environment, we have elaborated predictive models of energy consumption. The objective of this paper is to make accessible the data related to these publications to other researchers in several fields of science (computer science, telecommunications, meteorological science, artificial intelligence, statistics ...).Show less >
Language :
Anglais
Popular science :
Non
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