Monitoring data stream reliability in smart city environments
Autor(en): | Kuemper, D. Iggena, T. Fischer, M. Toenjes, R. Pulvermueller, E. |
Stichwörter: | Heterogeneous sensors; Information provider; Internet of things; monitoring; plausibility; reasoning; smart city; Spatial and temporal resolutions; Spatio temporal; spatio-temporal; time series; Time series, Correlation modeling; traffic data; Traffic data, Smart city | Erscheinungsdatum: | 2017 | Herausgeber: | Institute of Electrical and Electronics Engineers Inc. | Journal: | 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016 | Startseite: | 571 | Seitenende: | 576 | Zusammenfassung: | 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. © 2016 IEEE. |
Beschreibung: | Conference of 3rd IEEE World Forum on Internet of Things, WF-IoT 2016 ; Conference Date: 12 December 2016 Through 14 December 2016; Conference Code:126414 |
ISBN: | 9781509041305 | DOI: | 10.1109/WF-IoT.2016.7845441 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015169094&doi=10.1109%2fWF-IoT.2016.7845441&partnerID=40&md5=3d8495e8864b6b7351be4bff4359fbdc |
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geprüft am 17.05.2024