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Article
License: CC BY
Data sources: UnpayWall
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Conference object . 2018
License: CC BY
Data sources: ZENODO
https://doi.org/10.1109/giots....
Article . 2018 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.24406/pu...
Other literature type . 2018
Data sources: Datacite
DBLP
Conference object . 2021
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Enabling IoT Platform Interoperability Using a Systematic Development Approach by Example

Authors: Michael Schneider; Benjamin Hippchen; Sebastian Abeck; Michael Jacoby; Reinhard Herzog;

Enabling IoT Platform Interoperability Using a Systematic Development Approach by Example

Abstract

Today, the IoT landscape consists of a large number of vertical IoT platforms that are rarely interconnected. To enable creation of applications across platforms and domain boundaries interoperability needs to be established between IoT platforms. In this paper we present how this task can be simplified by utilizing a systematic software development process based on behavior- and domain-driven development. This process is illustrated using an example that uses the open source IoT interoperability framework symbIoTe to connect two indoor navigation platforms. We show that developers can actually profit from this approach but existing IoT interoperability frameworks are still cumbersome to use.

Country
Germany
Keywords

ddc:004, domain-driven design, IoT, DATA processing & computer science, Internet of Things, interoperability, semantic interoperability, info:eu-repo/classification/ddc/004, 004, behavior-driven development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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16
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33
19
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