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dc.contributor.authorAlzate Mejía, Nestor
dc.contributor.authorSantos Boada, Germán
dc.contributor.authorAlmeida Amazonas, José Roberto de
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2021-02-18T08:09:12Z
dc.date.available2021-02-18T08:09:12Z
dc.date.issued2020
dc.identifier.citationAlzate, N.; Santos-Boada, G.; De Almeida, J. Decision making under uncertainty for the deployment of future networks in IoT scenarios. A: International Conference on Broadband Communications, Networks, and Systems. "Broadband Communications, Networks, and Systems, 11th EAI International Conference, BROADNETS 2020: Qingdao, China, December 11–12, 2020: proceedings". Berlín: Springer, 2020, p. 174-184. ISBN 978-3-030-68737-3. DOI 10.1007/978-3-030-68737-3.
dc.identifier.isbn978-3-030-68737-3
dc.identifier.urihttp://hdl.handle.net/2117/340009
dc.description.abstractThe main characteristic of various emerging communication network paradigms in the dimensioning, control and deployment of future networks is the fact that they are human-centric, entailing closelyknit interactions between telematics and human activities. Considering the effect of user behavior, whose dynamics are difficult to model, new uncertainties are introduced in these systems, bringing about network resource management challenges. Within this context, this study seeks to review different decision-making computational methods in conditions of uncertainty for Internet of Things scenarios such as smart spaces, and industry 4.0, through a systematic literature review. According to our research results, a new paradigm for computationally capturing and modeling human behavior context must be developed with the purpose of improving resource management.
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Economy and Competitiveness under contract TEC2017-90034-C2-1-R (ALLIANCE project) that receives funding from FEDER. Moreover, it has been partially supported by the Spanish Thematic Network under contract RED2018-102585-T (Go2Edge) and by the aid granted by the Sinfoni project INV2733 of the Cooperative University of Colombia.
dc.format.extent11 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshUncertainty
dc.subject.lcshDecision-making
dc.subject.lcshInternet of things
dc.subject.otherResource management
dc.titleDecision making under uncertainty for the deployment of future networks in IoT scenarios
dc.typeConference report
dc.subject.lemacIncertesa
dc.subject.lemacDecisió, Presa de
dc.subject.lemacInternet de les coses
dc.contributor.groupUniversitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
dc.identifier.doi10.1007/978-3-030-68737-3
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-68737-3_12
dc.rights.accessOpen Access
local.identifier.drac30504801
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/2PE/TEC2017-90034-C2-1-R
local.citation.authorAlzate, N.; Santos-Boada, G.; De Almeida, J.
local.citation.contributorInternational Conference on Broadband Communications, Networks, and Systems
local.citation.pubplaceBerlín
local.citation.publicationNameBroadband Communications, Networks, and Systems, 11th EAI International Conference, BROADNETS 2020: Qingdao, China, December 11–12, 2020: proceedings
local.citation.startingPage174
local.citation.endingPage184


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