Name
Abstract | ||
|---|---|---|
Various tools support developers in the creation of IoT applications. In general, such tools focus on the business logic, which is important for application development, however, for IoT applications in particular, it is crucial to consider the network, as they are intrinsically based on interconnected devices and services. IoT application developers do not have in depth expertise in configuring networks and physical connections between devices. Hence, approaches are required that automatically deduct these configurations. We address this challenge in this work with an architecture and associated data models that enable networking-aware IoT application development. We evaluate our approach in the context of an application for oil leakage detection in wind turbines. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/s20030897 | SENSORS |
Keywords | Field | DocType |
IoT,SDN,semantic models | Data modeling,Architecture,Systems engineering,Internet of Things,Business logic,Electronic engineering,Engineering,Wind power | Journal |
Volume | Issue | ISSN |
20 | 3 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arne Bröring | 1 | 0 | 0.34 |
| Jan Seeger | 2 | 0 | 0.34 |
| Manos Papoutsakis | 3 | 0 | 0.34 |
| Konstantinos Fysarakis | 4 | 83 | 15.84 |
| Ahmad Caracalli | 5 | 0 | 0.34 |