@InProceedings{NespoloNeRoRiNaCa:2016:MeBaTr,
author = "Nespolo, Renan and Neves, Leandro Alves and Roberto, Guilherme and
Ribeiro, Matheus and Nascimento, Marcelo Zanchetta do and Cansian,
Adriano",
affiliation = "{Sao Paulo State University (UNESP)} and {Sao Paulo State
University (UNESP)} and {Sao Paulo State University (UNESP)} and
{Sao Paulo State University (UNESP)} and FACOM, Federal University
of Uberlandia and {Sao Paulo State University (UNESP)}",
title = "Method Based on Triangulation for Sensor Deployment on 3D
Surfaces",
booktitle = "Proceedings...",
year = "2016",
editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and
Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson
A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti,
David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa,
Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and
Santos, Jefersson dos and Schwartz, William Robson and Thomaz,
Carlos E.",
organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
publisher = "IEEE Computer Society´s Conference Publishing Services",
address = "Los Alamitos",
keywords = "Wireless Sensor Network, Sensor nodes, Deployment, Simulation.",
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.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
conference-year = "4-7 Oct. 2016",
doi = "10.1109/SIBGRAPI.2016.027",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.027",
language = "en",
ibi = "8JMKD3MGPAW/3M3QSJ5",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3M3QSJ5",
targetfile = "Final_Papper90.pdf",
urlaccessdate = "2024, Apr. 28"
}