Method based on triangulation for sensor deployment on 3D surfaces
| Main Author: | |
|---|---|
| Publication Date: | 2017 |
| Other Authors: | , , , , |
| 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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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 |
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Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
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Universidade Estadual Paulista (UNESP) |
| instacron_str |
UNESP |
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UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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1834483480979832832 |