A distributed inference system on sensor nodes using neighbors' context data

Takeshi Kanda, Yutaka Yanagisawa, Takuya Maekawa, Michita Imai, Hideyuki Kawashima, Takeshi Okadome

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Recently, several studies have been made on techniques for the inference of contexts in indoor environments using sensor nodes attached to various objects. In existing systems, a sensor data server accumulates all data received from sensor nodes to infer contexts. However, when the number of nodes increases, the volume of the data concentrated on the server increases, and the calculation cost at the server often explodes. In order to solve this problem, we propose a distributed inference system on sensor nodes that infers the nodes' local contexts. The system has three remarkable features: 1) sensor nodes which can detect neighboring nodes, 2) inference engines on sensor nodes, which infer nodes' local contexts, and 3) sharing context data between neighbor nodes. This paper describes the implementation methods, composition, and operation examples of the system.

本文言語English
ホスト出版物のタイトル2007 IEEE International Workshop on Databases for Next-Generation Researchers, SWOD 2007 - Held in Conjunction with ICDE 2007
ページ116-121
ページ数6
DOI
出版ステータスPublished - 2007 12 1
イベント3rd IEEE International Workshop on Databases for Next-Generation Researchers, SWOD 2007, in Conjunction with the ICDE 2007 Conference - Istanbul, Turkey
継続期間: 2007 4 152007 4 15

出版物シリーズ

名前2007 IEEE International Workshop on Databases for Next-Generation Researchers, SWOD 2007 - Held in Conjunction with ICDE 2007

Other

Other3rd IEEE International Workshop on Databases for Next-Generation Researchers, SWOD 2007, in Conjunction with the ICDE 2007 Conference
国/地域Turkey
CityIstanbul
Period07/4/1507/4/15

ASJC Scopus subject areas

  • ソフトウェア

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