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Towards device interoperability in an heterogeneous Internet of Things environment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013729" target="_blank" >RIV/62690094:18450/17:50013729 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-67077-5_30" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-67077-5_30</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-67077-5_30" target="_blank" >10.1007/978-3-319-67077-5_30</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards device interoperability in an heterogeneous Internet of Things environment

  • Original language description

    Internet of Things can be viewed as a global network of devices with capabilities of autonomous communication. This is one step ahead of current state, where automatic mutual service communication without human interference is limited. This paper evaluates possibilities of extending nowadays commonly used protocols to achieve higher level of autonomous device communication. It is presumed that fully automatic machine to machine communication and understanding is not yet technologically possible. Several ways of extending current communication protocols by semantic metadata are described and their impact on device communication evaluated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computational collective intelligence (ICCCI 2017)

  • ISBN

    978-3-319-67076-8

  • ISSN

    0302-9743

  • e-ISSN

    neuvedeno

  • Number of pages

    10

  • Pages from-to

    315-324

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Nikósie

  • Event date

    Sep 27, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article