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Method based on triangulation for sensor deployment on 3D surfaces

Bibliographic Details
Main Author: Nespolo, Renan [UNESP]
Publication Date: 2017
Other Authors: Neves, Leandro Alves [UNESP], Roberto, Guilherme [UNESP], Ribeiro, Matheus [UNESP], Do Nascimento, Marcelo Zanchetta, Cansian, Adriano [UNESP]
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1109/SIBGRAPI.2016.027
http://hdl.handle.net/11449/174268
Summary: 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.
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spelling Method based on triangulation for sensor deployment on 3D surfacesDeploymentSensor nodesSimulationWireless Sensor NetworkIn 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.Department of Computer Science and Statistics (DCCE) São Paulo State University (UNESP)FACOM Federal University of UberlândiaDepartment of Computer Science and Statistics (DCCE) São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Universidade Federal de Uberlândia (UFU)Nespolo, Renan [UNESP]Neves, Leandro Alves [UNESP]Roberto, Guilherme [UNESP]Ribeiro, Matheus [UNESP]Do Nascimento, Marcelo ZanchettaCansian, Adriano [UNESP]2018-12-11T17:10:06Z2018-12-11T17:10:06Z2017-01-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject136-143http://dx.doi.org/10.1109/SIBGRAPI.2016.027Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 136-143.http://hdl.handle.net/11449/17426810.1109/SIBGRAPI.2016.0272-s2.0-85013762372009592194334597421390538148793120000-0003-4494-1454Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016info:eu-repo/semantics/openAccess2024-10-25T14:48:19Zoai:repositorio.unesp.br:11449/174268Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-10-25T14:48:19Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Method based on triangulation for sensor deployment on 3D surfaces
title Method based on triangulation for sensor deployment on 3D surfaces
spellingShingle Method based on triangulation for sensor deployment on 3D surfaces
Nespolo, Renan [UNESP]
Deployment
Sensor nodes
Simulation
Wireless Sensor Network
title_short Method based on triangulation for sensor deployment on 3D surfaces
title_full Method based on triangulation for sensor deployment on 3D surfaces
title_fullStr Method based on triangulation for sensor deployment on 3D surfaces
title_full_unstemmed Method based on triangulation for sensor deployment on 3D surfaces
title_sort Method based on triangulation for sensor deployment on 3D surfaces
author Nespolo, Renan [UNESP]
author_facet Nespolo, Renan [UNESP]
Neves, Leandro Alves [UNESP]
Roberto, Guilherme [UNESP]
Ribeiro, Matheus [UNESP]
Do Nascimento, Marcelo Zanchetta
Cansian, Adriano [UNESP]
author_role author
author2 Neves, Leandro Alves [UNESP]
Roberto, Guilherme [UNESP]
Ribeiro, Matheus [UNESP]
Do Nascimento, Marcelo Zanchetta
Cansian, Adriano [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de Uberlândia (UFU)
dc.contributor.author.fl_str_mv Nespolo, Renan [UNESP]
Neves, Leandro Alves [UNESP]
Roberto, Guilherme [UNESP]
Ribeiro, Matheus [UNESP]
Do Nascimento, Marcelo Zanchetta
Cansian, Adriano [UNESP]
dc.subject.por.fl_str_mv Deployment
Sensor nodes
Simulation
Wireless Sensor Network
topic Deployment
Sensor nodes
Simulation
Wireless Sensor Network
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-10
2018-12-11T17:10:06Z
2018-12-11T17:10:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/SIBGRAPI.2016.027
Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 136-143.
http://hdl.handle.net/11449/174268
10.1109/SIBGRAPI.2016.027
2-s2.0-85013762372
0095921943345974
2139053814879312
0000-0003-4494-1454
url http://dx.doi.org/10.1109/SIBGRAPI.2016.027
http://hdl.handle.net/11449/174268
identifier_str_mv Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016, p. 136-143.
10.1109/SIBGRAPI.2016.027
2-s2.0-85013762372
0095921943345974
2139053814879312
0000-0003-4494-1454
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2016
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 136-143
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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