Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/37325
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dc.contributor.authorMota, J.-
dc.contributor.authorCoutinho, C.-
dc.contributor.editorMateus-Coelho, Nuno-
dc.contributor.editorCunha, Maria Manuela Cruz-
dc.date.accessioned2026-05-21T08:46:51Z-
dc.date.available2026-05-21T08:46:51Z-
dc.date.issued2025-
dc.identifier.citationMota, J., & Coutinho, C. (2025). Enhancing energy management in IoT networks. In N. Mateus Coelho & M. M. Cruz Cunha (Eds.), Procedia Computer Science (Vol. 263, pp. 334-341). Elsevier. https://doi.org/10.1016/j.procs.2025.07.041-
dc.identifier.issn1877-0509-
dc.identifier.urihttp://hdl.handle.net/10071/37325-
dc.description.abstractThe Internet of Things is nowadays available everywhere, collecting data that can be used for different purposes. These end-devices are available in different formats, and depending on the use case, they need different features in order to function properly. Due to their specific requirements, some of these devices need to be portable, so a battery is an important component. Additionally, choosing the right communication protocol for these particular use cases is essential for establishing a network connection while minimising energy consumption. This will ensure that the collected data is transmitted for further analysis. This paper aims to provide an overview of LoRa, LoRaWAN, and Duty Cycling, along with their advantages and disadvantages in terms of energy efficiency on Internet of Things devices. Lastly, a suggested architectural design is proposed based on an energy-efficiency strategy, and some scenarios are assessed and compared in order to determine which could be preferred when it comes to an energy efficient solution.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04466%2F2020/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F04466%2F2020/PT-
dc.relation.ispartofProcedia Computer Science-
dc.rightsopenAccess-
dc.subjectDuty cyclingeng
dc.subjectEnergy efficiencyeng
dc.subjectLoRaeng
dc.subjectLoRaWANeng
dc.titleEnhancing energy management in IoT networkseng
dc.typeconferenceObject-
dc.event.title2024 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2024-
dc.event.typeConferênciapt
dc.event.date2024-
dc.pagination334 - 341-
dc.peerreviewedyes-
dc.volume263-
dc.date.updated2026-05-21T09:46:18Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1016/j.procs.2025.07.041-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
iscte.subject.odsEnergias renováveis e acessíveispor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-116536-
iscte.alternateIdentifiers.scopus2-s2.0-105013967879-
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