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Monitoring Data Stream Reliability in Smart City Environments
- Reliable information processing is an indispensable task in Smart City environments. Heterogeneous sensor infrastructures of individual information providers and data portal vendors tend to offer a hardly revisable information quality. This paper proposes a correlation model-based monitoring approach to evaluate the plausibility of smart city data sources. The model is based on spatial, temporal, and domain dependent correlations between individual data sources. A set of freely available datasets is used to evaluate the monitoring component and show the challenges of different spatial and temporal resolutions.
Author: | Daniel Kümper, Thorben Iggena, Marten Fischer, Ralf TönjesORCiD, Elke Pulvermueller |
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Title (English): | Monitoring Data Stream Reliability in Smart City Environments |
URN: | urn:nbn:de:bsz:959-opus-7807 |
URL: | https://ieeexplore.ieee.org/document/7845441/ |
ISBN: | 978-1-5090-4130-5 |
Parent Title (German): | 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), Reston |
Publisher: | IEEE |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2016 |
Release Date: | 2018/05/29 |
Tag: | smart city; monitoring; plausibility; traffic data; time series; spatio-temporal; reasoning |
Volume: | 2016 |
Page Number: | 6 |
First Page: | 571 |
Last Page: | 576 |
Faculties: | Fakultät IuI |
DDC classes: | 000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Review Status: | Überarbeitete Fassung |