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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.

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Author:Daniel Kümper, Thorben Iggena, Marten Fischer, Ralf Tönjes, Elke Pulvermueller
Title (English):Monitoring Data Stream Reliability in Smart City Environments
Parent Title (German):2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), Reston
Document Type:Conference Proceeding
Year of Completion:2016
Release Date:2018/05/29
Tag:smart city; monitoring; plausibility; traffic data; time series; spatio-temporal; reasoning
First Page:571
Last Page:576
Faculties:Fakultät IuI
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Review Status:Überarbeitete Fassung