Publicação:
Surface coverage in wireless sensor networks based on delaunay tetrahedralization

dc.contributor.authorRibeiro, Matheus Gonçalves [UNESP]
dc.contributor.authorNeves, Leandro Alves [UNESP]
dc.contributor.authorPinto, Alex Sandro Roschildt
dc.contributor.authorNascimento, Marcelo Zanchetta do
dc.contributor.authorZafalon, Geraldo Francisco Donegá [UNESP]
dc.contributor.authorValêncio, Carlos Roberto [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Santa Catarina (UFSC)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2015-10-21T13:14:04Z
dc.date.available2015-10-21T13:14:04Z
dc.date.issued2015-01-01
dc.description.abstractIn this work is presented a new method for sensor deployment on 3D surfaces. The method was structured on different steps. The first one aimed discretizes the relief of interest with Delaunay algorithm. The tetrahedra and relative values (spatial coordinates of each vertex and faces) were input to construction of 3D Voronoi diagram. Each circumcenter was calculated as a candidate position for a sensor node: the corresponding circular coverage area was calculated based on a radius r. The r value can be adjusted to simulate different kinds of sensors. The Dijkstra algorithm and a selection method were applied to eliminate candidate positions with overlapped coverage areas or beyond of surface of interest. Performance evaluations measures were defined using coverage area and communication as criteria. The results were relevant, once the mean coverage rate achieved on three different surfaces were among 91% and 100%.en
dc.description.affiliationUniversidade Federal de Uberlândia, Faculdade de Computação
dc.description.affiliationUnespUniversidade Estadual Paulista, Departamento de Ciência da Computação e Estatística, Instituto de Biociências, Letras e Ciências Exatas de São José do Rio Preto
dc.format.extent1-4
dc.identifierhttp://iopscience.iop.org/article/10.1088/1742-6596/574/1/012083/meta
dc.identifier.citation3rd International Conference On Mathematical Modeling In Physical Sciences (IC-MSQUARE 2014). Bristol: Iop Publishing Ltd, v. 574, p. 1-4, 2015.
dc.identifier.doi10.1088/1742-6596/574/1/012083
dc.identifier.fileWOS000352595600083.pdf
dc.identifier.issn1742-6588
dc.identifier.lattes2139053814879312
dc.identifier.lattes4644812253875832
dc.identifier.orcid0000-0002-9325-3159
dc.identifier.urihttp://hdl.handle.net/11449/128823
dc.identifier.wosWOS:000352595600083
dc.language.isoeng
dc.publisherIop Publishing Ltd
dc.relation.ispartof3rd International Conference On Mathematical Modeling In Physical Sciences (IC-MSQUARE 2014)
dc.relation.ispartofsjr0,241
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleSurface coverage in wireless sensor networks based on delaunay tetrahedralizationen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://iopscience.iop.org/page/copyright
dcterms.rightsHolderIop Publishing Ltd
dspace.entity.typePublication
unesp.author.lattes2139053814879312
unesp.author.lattes4644812253875832[6]
unesp.author.orcid0000-0002-9325-3159[6]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

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