A Novel Model of Conforming Delaunay Triangulation for Sensor Network Configuration
Joint Authors
Hao, Yan-ling
Tian, Feng-min
Ma, Yan
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Delaunay refinement is a technique for generating unstructured meshes of triangles for sensor network configuration engineering practice.
A new method for solving Delaunay triangulation problem is proposed in this paper, which is called endpoint triangle’s circumcircle model (ETCM).
As compared with the original fractional node refinement algorithms, the proposed algorithm can get well refinement stability with least time cost.
Simulations are performed under five aspects including refinement stability, the number of additional nodes, time cost, mesh quality after intruding additional nodes, and the aspect ratio improved by single additional node.
All experimental results show the advantages of the proposed algorithm as compared with the existing algorithms and confirm the algorithm analysis sufficiently.
American Psychological Association (APA)
Ma, Yan& Hao, Yan-ling& Tian, Feng-min. 2015. A Novel Model of Conforming Delaunay Triangulation for Sensor Network Configuration. Abstract and Applied Analysis،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1052094
Modern Language Association (MLA)
Ma, Yan…[et al.]. A Novel Model of Conforming Delaunay Triangulation for Sensor Network Configuration. Abstract and Applied Analysis No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1052094
American Medical Association (AMA)
Ma, Yan& Hao, Yan-ling& Tian, Feng-min. A Novel Model of Conforming Delaunay Triangulation for Sensor Network Configuration. Abstract and Applied Analysis. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1052094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052094