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An approach for measuring IoT interoperability using causal modeling

  • Interoperability is an important topic in the Internet of Things (IoT), because this domain incorporates diverse and heterogeneous objects, communication protocols and data formats. Many models and classification schemes have been proposed to make the degree of interoperability measurable - however only on the basis of a hierarchical scale. In the course of this paper we introduce a novel approach to measure the degree of interoperability using a metric scaled quantity. We consider IoT as a distributed system, where interoperable objects exchange messages with each other. Under this premise, we interpret messages as operation calls and formalize this view as a causal model. The analysis of this model enables us to quantify the interoperable behavior of communicating objects.

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Metadaten
Author of HS ReutlingenKotstein, Sebastian; Decker, Christian
URN:urn:nbn:de:bsz:rt2-opus4-25978
DOI:https://doi.org/10.3233/AISE190039
ISBN:978-1-61499-983-6
Erschienen in:Intelligent environments 2019 : workshop proceedings of the 15th International Conference on Intelligent Environments. - (Ambient intelligence and smart environments ser. ; v.26)
Publisher:IOS Press
Place of publication:Amsterdam
Editor:Andrés Muñoz
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Tag:Internet-of-Things; interoperability; measurement; structural causal model
Page Number:10
First Page:170
Last Page:179
DDC classes:004 Informatik
Open Access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International