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dc.contributor.authorRajendran, Sreeraj
dc.contributor.authorCalvo-Palomino, Roberto 
dc.contributor.authorFuchs, Markus
dc.contributor.authorVan den Bergh, Bertold
dc.contributor.authorCordobés de la Calle, Héctor 
dc.contributor.authorGiustiniano, Domenico 
dc.contributor.authorPollin, Sofie
dc.contributor.authorLenders, Vincent
dc.date.accessioned2021-07-13T09:32:14Z
dc.date.available2021-07-13T09:32:14Z
dc.date.issued2018-01
dc.identifier.issn0163-6804
dc.identifier.urihttp://hdl.handle.net/20.500.12761/498
dc.description.abstractWhile radio spectrum allocation is well regulated, there is little knowledge about its actual utilization over time and space. This limitation hinders taking effective actions in various applications including cognitive radios, electrosmog monitoring, and law enforcement. We introduce Electrosense, an initiative that seeks a more efficient, safe and reliable monitoring of the electromagnetic space by improving the accessibility of spectrum data for the general public. A collaborative spectrum monitoring network is designed that monitors the spectrum at large scale with low-cost spectrum sensing nodes. The large set of data is stored and processed in a big data architecture and provided back to the community with an open spectrum data as a service model, that allows users to build diverse and novel applications with different requirements. We illustrate useful usage scenarios of the Electrosense data.
dc.language.isoeng
dc.publisherIEEE Communications Society
dc.titleElectrosense: Open and Big Spectrum Dataen
dc.typemagazine
dc.journal.titleIEEE Communications Magazine
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.volume.number56
dc.issue.number1
dc.identifier.doiDOI: 10.1109/MCOM.2017.1700200
dc.page.final217
dc.page.initial210
dc.subject.keywordMonitoring
dc.subject.keywordSensors
dc.subject.keywordPipelines
dc.subject.keywordComputer architecture
dc.subject.keywordCrowdsourcing
dc.subject.keywordData models
dc.subject.keywordTime-frequency analysis
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1733


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