TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Kotstein, Sebastian
A1  - Decker, Christian
ED  - Muñoz, Andrés
T1  - An approach for measuring IoT interoperability using causal modeling
T2  - Intelligent environments 2019 : workshop proceedings of the 15th International Conference on Intelligent Environments. - (Ambient intelligence and smart environments ser. ; v.26)
N2  - 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.
KW  - Internet-of-Things
KW  - interoperability
KW  - structural causal model
KW  - measurement
Y1  - 2019
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-25978
SN  - 978-1-61499-983-6
SB  - 978-1-61499-983-6
U6  - https://doi.org/10.3233/AISE190039
DO  - https://doi.org/10.3233/AISE190039
SP  - 170
EP  - 179
S1  - 10
PB  - IOP Publishing
CY  - Amsterdam
ER  -