Monitoring data stream reliability in smart city environments
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Kuemper, D. | |
dc.contributor.author | Iggena, T. | |
dc.contributor.author | Fischer, M. | |
dc.contributor.author | Toenjes, R. | |
dc.contributor.author | Pulvermueller, E. | |
dc.date.accessioned | 2021-12-23T16:34:10Z | - |
dc.date.available | 2021-12-23T16:34:10Z | - |
dc.date.issued | 2017 | |
dc.identifier.isbn | 9781509041305 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/18031 | - |
dc.description | 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 | |
dc.description.abstract | 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. | |
dc.description.sponsorship | ARM; Comcast - MachineQ; DarkMatter; LoRa Alliance | |
dc.language.iso | en | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016 | |
dc.subject | Heterogeneous sensors | |
dc.subject | Information provider | |
dc.subject | Internet of things | |
dc.subject | monitoring | |
dc.subject | plausibility | |
dc.subject | reasoning | |
dc.subject | smart city | |
dc.subject | Spatial and temporal resolutions | |
dc.subject | Spatio temporal | |
dc.subject | spatio-temporal | |
dc.subject | time series | |
dc.subject | Time series, Correlation modeling | |
dc.subject | traffic data | |
dc.subject | Traffic data, Smart city | |
dc.title | Monitoring data stream reliability in smart city environments | |
dc.type | conference paper | |
dc.identifier.doi | 10.1109/WF-IoT.2016.7845441 | |
dc.identifier.scopus | 2-s2.0-85015169094 | |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015169094&doi=10.1109%2fWF-IoT.2016.7845441&partnerID=40&md5=3d8495e8864b6b7351be4bff4359fbdc | |
dc.description.startpage | 571 | |
dc.description.endpage | 576 | |
dcterms.isPartOf.abbreviation | IEEE World Forum Internet Things, WF-IoT | |
crisitem.author.dept | Institut für Informatik | - |
crisitem.author.deptid | institute12 | - |
crisitem.author.parentorg | FB 06 - Mathematik/Informatik/Physik | - |
crisitem.author.grandparentorg | Universität Osnabrück | - |
crisitem.author.netid | PuEl525 | - |
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geprüft am 01.06.2024