Hierarchical localization algorithm based on inverse delaunay tessellation

Masayuki Saeki, Junya Inoue, Kok How Khor, Tomohiro Kousaka, Hiroaki Honda, Kenji Oguni, Muneo Hori

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper presents the hierarchical sensor network system for robust localization. This system consists of parent nodes with a low priced LI GPS receiver and child nodes equipped with an acoustic ranging device. Relative positions between child nodes are estimated based on acoustic ranging through the inverse Delaunay algorithm. This algorithm localizes all the nodes simultaneously, thus, the accumulation of the error in the localization is suppressed. Relatively localized child sensor nodes are given global coordinates with the help of GPS on parent nodes. Field experiment was conducted with three GPS parent nodes and twenty-one child nodes (MOTE).

本文言語English
ホスト出版物のタイトルWireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings
ページ180-195
ページ数16
DOI
出版ステータスPublished - 2006 7 7
外部発表はい
イベント3rd European Workshop on Wireless Sensor Networks, EWSN 2006 - Zurich, Switzerland
継続期間: 2006 2 132006 2 15

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3868 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other3rd European Workshop on Wireless Sensor Networks, EWSN 2006
CountrySwitzerland
CityZurich
Period06/2/1306/2/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント 「Hierarchical localization algorithm based on inverse delaunay tessellation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル