Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.18419/opus-14197
Langanzeige der Metadaten
DC ElementWertSprache
dc.contributor.authorFranco da Silva, Ana Cristina-
dc.contributor.authorHirmer, Pascal-
dc.date.accessioned2024-04-10T13:08:11Z-
dc.date.available2024-04-10T13:08:11Z-
dc.date.issued2020de
dc.identifier.issn2078-2489-
dc.identifier.other1886596158-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-142169de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/14216-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-14197-
dc.description.abstractToday, the Internet of Things (IoT) is an emerging topic in research and industry. Famous examples of IoT applications are smart homes, smart cities, and smart factories. Through highly interconnected devices, equipped with sensors and actuators, context-aware approaches can be developed to enable, e.g., monitoring and self-organization. To achieve context-awareness, a large amount of environment models have been developed for the IoT that contain information about the devices of an environment, their attached sensors and actuators, as well as their interconnection. However, these models highly differ in their content, the format being used, for example ontologies or relational models, and the domain to which they are applied. In this article, we present a comparative survey of models for IoT environments. By doing so, we describe and compare the selected models based on a deep literature research. The result is a comparative overview of existing state-of-the-art IoT environment models.en
dc.language.isoende
dc.relation.uridoi:10.3390/info11100487de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc004de
dc.titleModels for internet of things environments : a surveyen
dc.typearticlede
dc.date.updated2023-11-14T06:17:05Z-
ubs.fakultaetInformatik, Elektrotechnik und Informationstechnikde
ubs.institutInstitut für Parallele und Verteilte Systemede
ubs.institutInstitut für Software Engineeringde
ubs.publikation.seiten19de
ubs.publikation.sourceInformation 11 (2020), No. 487de
ubs.publikation.typZeitschriftenartikelde
Enthalten in den Sammlungen:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
information-11-00487.pdf1,78 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons