Publicação: Method based on triangulation for sensor deployment on 3D surfaces
dc.contributor.author | Nespolo, Renan [UNESP] | |
dc.contributor.author | Neves, Leandro Alves [UNESP] | |
dc.contributor.author | Roberto, Guilherme [UNESP] | |
dc.contributor.author | Ribeiro, Matheus [UNESP] | |
dc.contributor.author | Do Nascimento, Marcelo Zanchetta | |
dc.contributor.author | Cansian, Adriano [UNESP] | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Universidade Federal de Uberlândia (UFU) | |
dc.date.accessioned | 2018-12-11T17:10:06Z | |
dc.date.available | 2018-12-11T17:10:06Z | |
dc.date.issued | 2017-01-10 | |
dc.description.abstract | In this work a new method is proposed to obtain the deployment of sensor nodes with a maximum coverage area using a minimum number of sensor nodes in three-dimensional surfaces. The deployment is performed using the dual Delaunay triangulation/Voronoi Diagram. The position selection process considered the vertices as candidate positions and the sensing radius. The positions were selected based on the maximum area coverage and the existence of communication among them. The communication was defined as omnidirectional. To ensure the coverage area, the problem of sensing superposition was considered. The verification of the communication is accomplished by the minimum spanning tree algorithm. To certify the versatility of the proposed method, we show the deployment in distinct surface areas commonly monitored by Wireless Sensor Networks. The results were significant, with coverage area between 84% and 95% for distinct types of reliefs. | en |
dc.description.affiliation | Department of Computer Science and Statistics (DCCE) São Paulo State University (UNESP) | |
dc.description.affiliation | FACOM Federal University of Uberlândia | |
dc.description.affiliationUnesp | Department of Computer Science and Statistics (DCCE) São Paulo State University (UNESP) | |
dc.format.extent | 136-143 | |
dc.identifier | http://dx.doi.org/10.1109/SIBGRAPI.2016.027 | |
dc.identifier.citation | Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 136-143. | |
dc.identifier.doi | 10.1109/SIBGRAPI.2016.027 | |
dc.identifier.lattes | 0095921943345974 | |
dc.identifier.lattes | 2139053814879312 | |
dc.identifier.orcid | 0000-0003-4494-1454 | |
dc.identifier.scopus | 2-s2.0-85013762372 | |
dc.identifier.uri | http://hdl.handle.net/11449/174268 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016 | |
dc.rights.accessRights | Acesso aberto | |
dc.source | Scopus | |
dc.subject | Deployment | |
dc.subject | Sensor nodes | |
dc.subject | Simulation | |
dc.subject | Wireless Sensor Network | |
dc.title | Method based on triangulation for sensor deployment on 3D surfaces | en |
dc.type | Trabalho apresentado em evento | |
dspace.entity.type | Publication | |
unesp.author.lattes | 0095921943345974[6] | |
unesp.author.lattes | 2139053814879312 | |
unesp.author.orcid | 0000-0003-4494-1454[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 |