Distributed algorithm for localization of large scale sensor network

Kenji Oguni, Hiroaki Honda, Kok How Khor, Junya Inoue

研究成果: Conference contribution

抄録

Localization (determination of the position of each sensor node) of a large scale sensor network is an important issue for applying network sensing technique to the health monitoring of the infrastructures. This paper presents an implementation of acoustic ranging and proposes a distributed algorithm for localization of sensor network. Relative positions between sensor 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. The robustness and the scalability of this algorithm are examined through numerical simulations. Noise tolerant acoustic ranging algorithm that employs digital signal processing techniques is implemented in an off-the-shelf sensor platform (Mica2). Experiments show that this acoustic ranging algorithm is sufficient to give average range estimation error below 10 cm. Together with this acoustic ranging algorithm, the inverse Delaunay algorithm is also implemented in Mica2. This enables automatic localization of sensor network. Field experiment was conducted to evaluate the accuracy of the localization of the system.

本文言語English
ホスト出版物のタイトルProceedings of the 1st World Congress on Engineering Asset Management, WCEAM 2006
ページ483-491
ページ数9
出版ステータスPublished - 2006 12 1
外部発表はい
イベント1st World Congress on Engineering Asset Management, WCEAM 2006 - Gold Coast, QLD, Australia
継続期間: 2006 7 112006 7 14

出版物シリーズ

名前Proceedings of the 1st World Congress on Engineering Asset Management, WCEAM 2006

Other

Other1st World Congress on Engineering Asset Management, WCEAM 2006
国/地域Australia
CityGold Coast, QLD
Period06/7/1106/7/14

ASJC Scopus subject areas

  • ビジネス、管理および会計(その他)
  • 工学(全般)

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