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A fuzzy logic approach for self-managing energy efficiency in IoT nodes

2022Conference paper Open access
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dc.contributor.authorMelo, Victória
dc.contributor.authorFunchal, Gustavo Silva
dc.contributor.authorQueiroz, Jonas
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2023-03-14T15:26:42Z
dc.date.available2023-03-14T15:26:42Z
dc.date.issued2022
dc.description.abstractThe collection and analysis of data assume a crucial importance in the digital transformation era. Internet of Things (IoT) technologies allow to gather data from heterogeneous sources and make them available for data-driven systems aiming, e.g., monitoring, diagnosis, prediction and optimization. Several applications require that these IoT nodes be located remotely without connection to the electrical grid and being powered by batteries or renewable sources, thus requiring a more efficient management of the energy consumption in their operation. This paper aims to study and develop intelligent IoT nodes that embed Artificial Intelligence techniques to optimize their operation in terms of energy consumption when operating in constrained environments and powered by energy harvesting systems. For this purpose, a Fuzzy Logic system is proposed to determine the optimal operation strategy, considering the node’s current resource demands, the current battery condition and the power charge expectation. The proposed approach was implemented in IoT nodes measuring environmental parameters and placed in a university campus with Wi-Fi coverage. The achieved results show the advantage of adjusting the operation mode taking into consideration the battery level and the weather forecasts to increase the energy efficiency without compromising the IoT nodes’ functionalities and QoS.pt_PT
dc.description.sponsorshipThis work has been supported by FCT-Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020. This work has been also partially conducted under the project “BIOMA-Bioeconomy integrated solutions for the mobilization of the Agro-food market” (POCI-01-0247-FEDER-046112), by “BIOMA” Consortium, and financed by European Regional Development Fund (ERDF), through the Incentive System to Research and Technological development, within the Portugal2020 Competitiveness and Internationalization Operational Program.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMelo, Victória; Funchal, Gustavo; Queiroz, Jonas; Leitão, Paulo (2022). A fuzzy logic approach for self-managing energy efficiency in IoT nodes. In 4th IFIP International Cross-Domain Conference on Internet of Things (IoT) (IFIPIoT). Amsterdam, The Netherlands. p. 237-251pt_PT
dc.identifier.doi10.1007/978-3-030-96466-5_15pt_PT
dc.identifier.isbn978-3-030-96466-5
dc.identifier.urihttp://hdl.handle.net/10198/27705
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectInternet of thingspt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectFuzzy logicpt_PT
dc.titleA fuzzy logic approach for self-managing energy efficiency in IoT nodespt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceAmsterdam, The Netherlandspt_PT
oaire.citation.endPage251pt_PT
oaire.citation.startPage237pt_PT
oaire.citation.title4th IFIP International Internet of Things (IoT) Conference 2021pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMelo
person.familyNameFunchal
person.familyNameQueiroz
person.familyNameLeitão
person.givenNameVictória
person.givenNameGustavo Silva
person.givenNameJonas
person.givenNamePaulo
person.identifierhttps://scholar.google.com/citations?user=2JvgMH4AAAAJ&hl=pt-PT
person.identifierhttps://scholar.google.com/citations?user=eegfgI4AAAAJ&hl=pt-PT&oi=ao
person.identifierhttps://scholar.google.com/citations?user=UnhjE9gAAAAJ
person.identifierA-8390-2011
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person.identifier.ciencia-idBF12-BBDD-CCC5
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0003-0025-8055
person.identifier.orcid0000-0002-9691-9956
person.identifier.orcid0000-0001-5416-4762
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id57216635456
person.identifier.scopus-author-id57216637887
person.identifier.scopus-author-id57188655139
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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