Logo des Repositoriums
 

Enhancing Resilience in IoT Networks using Organic Computing

dc.contributor.authorWeikert, Dominik
dc.contributor.authorSteup, Christoph
dc.contributor.authorMostaghim, Sanaz
dc.contributor.editorReussner, Ralf H.
dc.contributor.editorKoziolek, Anne
dc.contributor.editorHeinrich, Robert
dc.date.accessioned2021-01-27T13:33:14Z
dc.date.available2021-01-27T13:33:14Z
dc.date.issued2021
dc.description.abstractIn this paper we present and analyse the requirements and challenges of the Task Allocation Problem for Internet-of-Things (IoT) Networks, especially Wireless Sensor Networks (WSNs). As IoT is comprised of a variety of heterogeneous devices and network configuration may change regularly due to low-power nodes failing or communication disruptions, a static allocation of tasks to individual nodes cannot be assumed. Therefore, task allocation has to be carried out and managed for every dynamic change in the network along the lifetime of the network. In dynamic task allocation, a NP-hard problem, the calculation of a new optimal allocation could quickly become a bottleneck for network performance, giving rise to the need of organic computing solutions to provide self-organised task allocation solutions for such networks.en
dc.identifier.doi10.18420/inf2020_112
dc.identifier.isbn978-3-88579-701-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34701
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-307
dc.subjectIoT
dc.subjectOrganic Computing
dc.subjectDynamic Task Allocation
dc.titleEnhancing Resilience in IoT Networks using Organic Computingen
dc.title.subtitleChallenges and Requirementsen
gi.citation.endPage1214
gi.citation.startPage1205
gi.conference.date28. September - 2. Oktober 2020
gi.conference.locationKarlsruhe
gi.conference.sessiontitleWorkshop on Tools and Concepts for Communication and Networked Systems

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
C25-3.pdf
Größe:
204.03 KB
Format:
Adobe Portable Document Format