QoE-based management of medical video transmission in wireless networks

Tiia Ojanperä, Mikko Uitto, Janne Vehkaperä

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 Citations (Scopus)

    Abstract

    The prevalence of broadband wireless networks offering nearly ubiquitous Internet connectivity today has opened new possibilities for utilizing wireless and mobile services also in eHealth applications. However, such services often involve transmission of critical multimedia data, thus having stringent requirements for network Quality of Service (QoS) not supported in current networks. In this paper, we propose means for implementing enhanced QoS support for medical video transmission in wireless networks. Our solution extends existing wireless network QoS architectures with support for differentiating multiple flows and packets of the same service type based on their impact on the Quality of Experience (QoE). The paper also presents an experimental evaluation of the solution in a simulation environment. The simulation results indicate that our solution enhances the QoE significantly and therefore improves the availability of critical medical video services
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationIEEE Network Operations and Management Symposium, NOMS 2014
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-4799-0913-1
    DOIs
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    Event14th IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014 - Krakow, Poland
    Duration: 5 May 20149 May 2014

    Conference

    Conference14th IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014
    Abbreviated titleNOMS 2014
    Country/TerritoryPoland
    CityKrakow
    Period5/05/149/05/14

    Keywords

    • eHealth
    • prioritization
    • scheduling
    • video adaptation
    • wireless QoS

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