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AnApproach forMeasuring IoT
Interoperability singCausalModeling
SebastianKOTSTEINaChristianDECKERb
asebastian.kotstein@reutlingen-university.de
bchristian.decker@reutlingen-university.de
HermannHollerithZentrum,ReutlingenUniversity,
D-71034Bo¨blingen,Germany
Abstract. Interoperability is an important topic in the InternetofThings (IoT),be-
cause thisdomain incorporatesdiverseandheterogeneousobjects, communication
protocols and data formats. Many models and classification schemes have been
proposed tomake thedegreeof interoperabilitymeasurable - however onlyon the
basis of a hierarchical scale. In the course of this paperwe introduce a novel ap-
proach tomeasure thedegreeof interoperabilityusingametric scaledquantity.We
consider IoT as a distributed system,where interoperable objects exchangemes-
sageswitheachother.Under thispremise,we interpretmessagesasoperationcalls
andformalize thisviewasacausalmodel.Theanalysisof thismodelenablesus to
quantify the interoperablebehaviorof communicatingobjects.
Keywords.Internet-of-Things, interoperability,structuralcausalmodel,measurement
1. Introduction
The Internet of Things (IoT) transforms ordinary physical objects into so-called smart
objects by enriching themwith computing capabilities and connecting these objects to
a given communication infrastructure, namely the Internet. Functions and services that
were previously only available locally (i.e. within the boundaries of the corresponding
physical objects) can nowbe offered to other participants in the IoT environment such
that new use cases and applications can be formed out of the composition ofmultiple
servicesandfunctions.Furthermore, thesesmartobjectsproduce tonsofdataas theyare
able to sense their physical environment in terms of temperature, humidity, light inten-
sity and so further, and to share the collected data. Using actors, they are even able to
manipulate theenvironment (e.g. a smart light switchallowing to turnon/off the lights).
However, interoperability, i.e. theability to seamlesslycommunicate, interact andcoop-
eratewith each other, is a critical key factor for realizing such novel IoT applications,
as themarket is coined bymany heterogeneous objects, a huge bandwidth of available
communicationprotocolsanddataformats,andnumerousrecommendationsforpossible
reference architectures [1][2].All these technologies are not always compatible to each
other leading to an immensemanual effort for integrating heterogeneous objects into a
uniform IoT environment [1]. Therefore, the interoperability challenge is an important
topicaddressedbyboth, the researchaswell as in the industry [3][4][5].
U Intelligent Environments 2019
A. Muñoz et al. (Eds.)
© 2019 The authors and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms
of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
doi:10.3233/AISE190039
170
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Titel
- Intelligent Environments 2019
- Untertitel
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Autoren
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-Cía
- Verlag
- IOS Press BV
- Datum
- 2019
- Sprache
- deutsch
- Lizenz
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Abmessungen
- 16.0 x 24.0 cm
- Seiten
- 416
- Kategorie
- Tagungsbände