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Experiments with XDense: A Dense Grid Sensor Network for Distributed Feature Extraction

dc.contributor.authorLoureiro, João
dc.contributor.authorRangarajan, Raghuraman
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2017-07-18T09:30:56Z
dc.date.embargo2117
dc.date.issued2017-07-12
dc.description.abstractWe propose XDense, a wired mesh grid sensor network architecture tailored for scenarios that benefit from thousands of sensors per square meter. XDense has a scalable network topology and protocol, customizable to application specifics, that enables complex feature extraction in realtime from the observed phenomena by exploiting the communication and distributed processing capabilities of such network topologies. We detail XDense’s node and network architecture, protocols, and principles of operation. To demonstrate XDense’s potentials, we evaluate it’s response time, data traffic metrics and accuracy in the context of detecting fluid dynamic features.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-319-61403-8_1pt_PT
dc.identifier.isbn978-3-319-61402-1
dc.identifier.urihttp://hdl.handle.net/10400.22/10097
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Internationalpt_PT
dc.relation.ispartofseriesCommunications in Computer and Information Science;Vol. 702
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-61403-8_1pt_PT
dc.titleExperiments with XDense: A Dense Grid Sensor Network for Distributed Feature Extractionpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage22pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleCommunication in Critical Embedded Systemspt_PT
oaire.citation.volume702pt_PT
person.familyNameTovar
person.givenNameEduardo
person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0001-8979-3876
person.identifier.scopus-author-id7006312557
rcaap.rightsrestrictedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isAuthorOfPublication.latestForDiscovery80b63d8a-2e6d-484e-af3c-55849d0cb65e

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