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A Multi-Criteria Framework to Assist on the Design of Internet-of-Things Systems

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapt_PT
dc.contributor.advisorGonçalves, Ricardo
dc.contributor.authorSilva, Edgar Miguel Felício Oliveira da
dc.date.accessioned2020-10-07T13:39:57Z
dc.date.available2020-10-07T13:39:57Z
dc.date.issued2020-09
dc.date.submitted2020
dc.description.abstractThe Internet-of-Things (IoT), considered as Internet first real evolution, has become immensely important to society due to revolutionary business models with the potential to radically improve Human life. Manufacturers are engaged in developing embedded systems (IoT Systems) for different purposes to address this new variety of application domains and services. With the capability to agilely respond to a very dynamic market offer of IoT Systems, the design phase of IoT ecosystems can be enhanced. However, select the more suitable IoT System for a certain task is currently based on stakeholder’s knowledge, normally from lived experience or intuition, although it does not mean that a proper decision is being made. Furthermore, the lack of methods to formally describe IoT Systems characteristics, capable of being automatically used by methods is also an issue, reinforced by the growth of available information directly connected to Internet spread. Contributing to improve IoT Ecosystems design phase, this PhD work proposes a framework capable of fully characterise an IoT System and assist stakeholder’s on the decision of which is the proper IoT System for a specific task. This enables decision-makers to perform a better reasoning and more aware analysis of diverse and very often contradicting criteria. It is also intended to provide methods to integrate energy consumptionsimulation tools and address interoperability with standards, methods or systems within the IoT scope. This is addressed using a model-driven based framework supporting a high openness level to use different software languages and decision methods, but also for interoperability with other systems, tools and methods.pt_PT
dc.identifier.tid101415036
dc.identifier.urihttp://hdl.handle.net/10362/105227
dc.language.isoengpt_PT
dc.subjectInternet-of-Thingspt_PT
dc.subjectResource-Constrained Systemspt_PT
dc.subjectModel-Driven Engineeringpt_PT
dc.subjectInteroperabilitypt_PT
dc.subjectMulti-Criteria Decisionpt_PT
dc.subjectIoT Systems Assessmentpt_PT
dc.titleA Multi-Criteria Framework to Assist on the Design of Internet-of-Things Systemspt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
thesis.degree.nameDoutor em Engenharia Electrotécnica e de Computadorespt_PT

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