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.
| Author of HS Reutlingen | Kotstein, 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 |
| Publication year: | 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): |  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |
