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An Infrastructure-based Interpolation and Propagation Approach for IoT Data Analytics
- Interpolation of data in smart city architectures is an eminent task for the provision of reliable services. Furthermore, it is a key functionality for information validation between spatiotemporally related sensors. Nevertheless, many existing projects use a simplified geospatial model that does not take the infrastructure, which affects events and effects in the real world, into account. There are various available algorithms for interpolation and the calculation of routes on infrastructure based graphs and distances on geospatial data. This work proposes a combined approach by interconnecting detailed geospatial data whilst regarding the underlying infrastructure model.
Author: | Daniel Kümper, Ralf TönjesORCiD, Elke Pulvermüller |
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Title (English): | An Infrastructure-based Interpolation and Propagation Approach for IoT Data Analytics |
URN: | urn:nbn:de:bsz:959-opus-7789 |
URL: | https://ieeexplore.ieee.org/abstract/document/7899439/ |
ISBN: | 978-1-5090-3672-1 |
ISSN: | 2472-8144 |
Parent Title (English): | Innovations in Clouds, Internet and Networks (ICIN), 2017 20th Conference on |
Publisher: | IEEE |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2017 |
Release Date: | 2018/05/29 |
Tag: | Inverse Distance Weighting; IoT; Kriging; OSM; Smart Cities |
Volume: | 2017 |
Page Number: | 6 |
Faculties: | Fakultät IuI |
DDC classes: | 000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Review Status: | Überarbeitete Fassung |