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dc.contributor.authorIkram, Waqas
dc.contributor.authorJohnston, Gareth
dc.contributor.authorPetersen, Stig
dc.date.accessioned2018-03-05T06:57:09Z
dc.date.available2018-03-05T06:57:09Z
dc.date.created2017-12-01T14:32:20Z
dc.date.issued2017
dc.identifier.citationIEEE Conference on Emerging Technologies and Factory Automation, 2017, 4 pagesnb_NO
dc.identifier.issn1946-0740
dc.identifier.urihttp://hdl.handle.net/11250/2488440
dc.description.abstractWireless mesh networks have, in recent years, gained a strong foothold in the industry with a steady growing number of installations. Although wireless solutions are now “proven in use”, some of the challenges e.g. QoS which arise from this accelerated adoption have not fully been addressed. In this paper, a framework for tracking QoS and assessing the risk to performance of wireless mesh networks is proposed. This paper presents and consolidates a list of performance indicators which are relevant to industrial applications. Based on those indicators, a method to visualize them in a single graph with a unified scale is introduced. This QoS based application profiling approach keeps track of overall network performance and relevant trade-offs. Moreover, this paper proposes a method to assess the risk to network performance and eventually to QoS by using historical statistical data.nb_NO
dc.language.isoengnb_NO
dc.titlePerformance Tracking and Risk Assessment of Wireless Mesh Networks: A WiP Frameworknb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber4nb_NO
dc.source.volume22ndnb_NO
dc.source.journalIEEE Conference on Emerging Technologies and Factory Automationnb_NO
dc.identifier.doi10.1109/ETFA.2017.8247731
dc.identifier.cristin1521675
cristin.unitcode7401,90,22,0
cristin.unitnameKommunikasjonssystemer
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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