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dc.contributor.authorBråten, Anders Eivind
dc.contributor.authorKraemer, Frank Alexander
dc.contributor.authorPalma, David
dc.date.accessioned2021-01-18T09:56:40Z
dc.date.available2021-01-18T09:56:40Z
dc.date.created2020-10-30T10:28:16Z
dc.date.issued2020
dc.identifier.issn2327-4662
dc.identifier.urihttps://hdl.handle.net/11250/2723413
dc.description.abstractResearch on autonomous management for large-scale deployments of constrained devices is still a maturing field in the Internet of Things (IoT). Although much research has been conducted on how to achieve autonomous management in specific cases, there is a need for literature investigating which mechanisms can achieve such behavior in a generalized way. In this review, we present a comprehensive and structured study of the mechanisms for autonomous device management of constrained IoT devices in the light of management tasks, operational environment, network topology, resource constraints, scalability and management categories. Data extracted from 32 relevant cases is first organized and analyzed according to a synthesized taxonomy of observed adaptation mechanisms, and then combined with state-of-the-art models of autonomous operations, identifying common patterns for autonomous management. Based on our findings we substantiate best practices for designing and implementing solutions around adaptation mechanisms. We then present a generalized model for autonomous device management that describes and explains the processes required for autonomous operation, unifying the insights from previous works as one cohesive archetype.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.titleAutonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Modelen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.journalIEEE Internet of Things Journalen_US
dc.identifier.doi10.1109/JIOT.2020.3035389
dc.identifier.cristin1843525
dc.description.localcode© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
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