Artificial Intelligence-based Energy Optimization : Applications in Internet of Things Communications

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dc.contributor.advisorMohammed RZIZA, PES, Université Mohammed V -RABAT-, Faculté des Sciences, Rabat, Président.
dc.contributor.authorMohammed ASSAOUY
dc.date.accessioned2024-04-24T10:11:54Z
dc.date.accessioned2026-01-24T08:40:09Z
dc.date.available2024-04-24T10:11:54Z
dc.date.issued2021
dc.description.abstractMost common power source for connected objects still mainly battery-based. With limited power capacity, objects continually require local intervention to replace batteries when empty. Which can be difficult to achieve, especially when placed in hostile and dangerous environments.
dc.description.laboratoireLaboratoire de Recherche en Informatique/Télécommunications (LRIT)
dc.identifier.urihttps://toubkalpreprod.imist.ma/handle/123456789/33520
dc.language.isoeng
dc.publisherFaculté des Sciences de Rabatfr_FR
dc.subjectSciences de l’ingénieurfr_FR
dc.subject.otherSciences de l’ingénieur
dc.titleArtificial Intelligence-based Energy Optimization : Applications in Internet of Things Communicationsfr_FR
dc.title.alternativeOptimisation de l’Energie basée sur l’Intelligence Artificielle: Applications aux communications de l’Internet des Objetsfr_FR

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