Publicação: Surface coverage in wireless sensor networks based on delaunay tetrahedralization
dc.contributor.author | Ribeiro, Matheus Gonçalves [UNESP] | |
dc.contributor.author | Neves, Leandro Alves [UNESP] | |
dc.contributor.author | Pinto, Alex Sandro Roschildt | |
dc.contributor.author | Nascimento, Marcelo Zanchetta do | |
dc.contributor.author | Zafalon, Geraldo Francisco Donegá [UNESP] | |
dc.contributor.author | Valêncio, Carlos Roberto [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Federal de Santa Catarina (UFSC) | |
dc.contributor.institution | Universidade Federal de Uberlândia (UFU) | |
dc.date.accessioned | 2015-10-21T13:14:04Z | |
dc.date.available | 2015-10-21T13:14:04Z | |
dc.date.issued | 2015-01-01 | |
dc.description.abstract | In 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.affiliation | Universidade Federal de Uberlândia, Faculdade de Computação | |
dc.description.affiliationUnesp | Universidade Estadual Paulista, Departamento de Ciência da Computação e Estatística, Instituto de Biociências, Letras e Ciências Exatas de São José do Rio Preto | |
dc.format.extent | 1-4 | |
dc.identifier | http://iopscience.iop.org/article/10.1088/1742-6596/574/1/012083/meta | |
dc.identifier.citation | 3rd International Conference On Mathematical Modeling In Physical Sciences (IC-MSQUARE 2014). Bristol: Iop Publishing Ltd, v. 574, p. 1-4, 2015. | |
dc.identifier.doi | 10.1088/1742-6596/574/1/012083 | |
dc.identifier.file | WOS000352595600083.pdf | |
dc.identifier.issn | 1742-6588 | |
dc.identifier.lattes | 2139053814879312 | |
dc.identifier.lattes | 4644812253875832 | |
dc.identifier.orcid | 0000-0002-9325-3159 | |
dc.identifier.uri | http://hdl.handle.net/11449/128823 | |
dc.identifier.wos | WOS:000352595600083 | |
dc.language.iso | eng | |
dc.publisher | Iop Publishing Ltd | |
dc.relation.ispartof | 3rd International Conference On Mathematical Modeling In Physical Sciences (IC-MSQUARE 2014) | |
dc.relation.ispartofsjr | 0,241 | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Web of Science | |
dc.title | Surface coverage in wireless sensor networks based on delaunay tetrahedralization | en |
dc.type | Trabalho apresentado em evento | |
dcterms.license | http://iopscience.iop.org/page/copyright | |
dcterms.rightsHolder | Iop Publishing Ltd | |
dspace.entity.type | Publication | |
unesp.author.lattes | 2139053814879312 | |
unesp.author.lattes | 4644812253875832[6] | |
unesp.author.orcid | 0000-0002-9325-3159[6] | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Preto | pt |
unesp.department | Ciências da Computação e Estatística - IBILCE | pt |
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