Direction Control Using Delaunay Triangulation for Coverage Improvement in Directional Sensor Networks

Tien Wen Sung, You Te Lu, Fu Tian Lin, Chu Sing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The sensing coverage of a directional sensor network (DSN) depends on the directionality and size-specific sensing angle of the directional sensors. The conditions are dissimilar from those of omnidirectional sensor networks for researches, especially on sensing coverage. The geometric graph of Delaunay Triangulation was used in some of related researches. However, Delaunay Triangulation has not drawn the attention of researchers for directional field coverage problem in DSNs. This study proposed two distributed algorithms of sensor direction control with the characteristics of the geometric graph of Delaunay Triangulation to achieve the field coverage improvement in DSNs. The simulation results of the proposed two algorithms are provided in this paper and can give the clarity of the coverage performances.

Original languageEnglish
Title of host publicationProceedings - 2015 3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015
EditorsXin-Hua Jiang, Tien-Szu Pan, Pei-Wei Tsai, Hsiang-Cheh Huang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages290-293
Number of pages4
ISBN (Electronic)9781467396462
DOIs
Publication statusPublished - 2016 Feb 3
Event3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015 - Kaohsiung, Taiwan
Duration: 2015 Nov 182015 Nov 20

Publication series

NameProceedings - 2015 3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015

Other

Other3rd International Conference on Robot, Vision and Signal Processing, RVSP 2015
CountryTaiwan
CityKaohsiung
Period15-11-1815-11-20

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing

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