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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.

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Metadaten
Author:Daniel Kümper, Ralf Tönjes, Elke Pulvermüller
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; Kriging; Shortest Path; OSM; Smart Cities; IoT
Volume:2017
Pagenumber:6
Faculties:Fakultät IuI
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Review Status:Überarbeitete Fassung