The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 16 of 39
Back to Result List

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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Daniel Kümper, Thorben Iggena, Marten Fischer, Ralf Tönjes, Elke Pulvermueller
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
Pagenumber:6
First Page:571
Last Page:576
Faculties:Fakultät IuI
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Review Status:Überarbeitete Fassung