Valid.IoT - A framework for sensor data quality analysis and interpolation
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Kuemper, D. | |
dc.contributor.author | Iggena, T. | |
dc.contributor.author | Toenjes, R. | |
dc.contributor.author | Pulvermueller, E. | |
dc.date.accessioned | 2021-12-23T16:33:46Z | - |
dc.date.available | 2021-12-23T16:33:46Z | - |
dc.date.issued | 2018 | |
dc.identifier.isbn | 9781450351928 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/17845 | - |
dc.description | Conference of 9th ACM Multimedia Systems Conference, MMSys 2018 ; Conference Date: 12 June 2018 Through 15 June 2018; Conference Code:137821 | |
dc.description.abstract | Heterogeneous sensor device networks with diverse maintainers and information collected via social media as well as crowdsourcing tend to be elements of uncertainty in IoT and Smart City networks. Often, there is no ground truth available that can be used to check the plausibility and concordance of the new information. This paper proposes the Valid.IoT Framework as an attachable IoT framework component that can be linked to generate QoI vectors and Interpolated sensory data with plausibility and quality estimations to a variety of platforms. The framework utilises extended infrastructure knowledge and infrastructure-aware interpolation algorithms to validate crowdsourced and device generated sensor information through sensor fusion. © 2018 Association for Computing Machinery. | |
dc.description.sponsorship | Horizon 2020 Framework ProgrammeHorizon 2020 Framework Programme,H2020,779852; ACM SIGCOMM; ACM SIGMM; ACM SIGMOBILE; ACM SIGOPS | |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery, Inc | |
dc.relation.ispartof | Proceedings of the 9th ACM Multimedia Systems Conference, MMSys 2018 | |
dc.subject | Crowd Sourcing | |
dc.subject | Information Validation | |
dc.subject | Internet of things | |
dc.subject | Interpolation | |
dc.subject | IoT Framework | |
dc.subject | Iot frameworks | |
dc.subject | Multimedia systems | |
dc.subject | Quality control, Information Validation | |
dc.subject | Quality of Information | |
dc.subject | Sensor Fusion | |
dc.subject | Sensor Interpolation | |
dc.subject | Spatio-temporal data, Sensor data fusion | |
dc.subject | Spatiotemporal Data Analysis | |
dc.title | Valid.IoT - A framework for sensor data quality analysis and interpolation | |
dc.type | conference paper | |
dc.identifier.doi | 10.1145/3204949.3204972 | |
dc.identifier.scopus | 2-s2.0-85050658219 | |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050658219&doi=10.1145%2f3204949.3204972&partnerID=40&md5=72fa8db4d087cdc8e626e7b990d73bb1 | |
dc.description.startpage | 294 | |
dc.description.endpage | 303 | |
dcterms.isPartOf.abbreviation | Proc. ACM Multimed. Syst. Conf., MMSys | |
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 | - |
Seitenaufrufe
8
Letzte Woche
0
0
Letzter Monat
0
0
geprüft am 01.06.2024