dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2018-11-26T17:39:41Z
dc.date.available2018-11-26T17:39:41Z
dc.date.created2018-11-26T17:39:41Z
dc.date.issued2016-01-01
dc.identifier2016 29th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi). New York: Ieee, p. 136-143, 2016.
dc.identifier1530-1834
dc.identifierhttp://hdl.handle.net/11449/162999
dc.identifier10.1109/SIBGRAPI.2016.25
dc.identifierWOS:000405493800018
dc.identifier0095921943345974
dc.identifier2139053814879312
dc.identifier0000-0003-4494-1454
dc.description.abstractIn 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.
dc.languageeng
dc.publisherIeee
dc.relation2016 29th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi)
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectWireless Sensor Network
dc.subjectSensor nodes
dc.subjectDeployment
dc.subjectSimulation
dc.titleMethod Based on Triangulation for Sensor Deployment on 3D Surfaces
dc.typeActas de congresos


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