An extension of regression-based automatic calibration method for sensor networks

Tomoyuki Fujino, Satoshi Honda

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

This work proposes a new automatic calibration method for the sensor network which measures the distribution of physical fields. In case of these sensor networks, the regular calibration of the sensors is necessary for obtaining reliable information. However, it is not an easy task in the case of a large scale sensor network, because the manual calibration is time consuming and costly. To solve this problem, this present study proposes a new method which is based on the two concepts of regression analysis and cross validation. In this paper, the new method is explained and the efficient extension is also proposed, and the performance of the proposed methods is verified by a simulation.

元の言語English
ホスト出版物のタイトル9th International Conference on Networked Sensing Systems, INSS 2012 - Conference Proceedings
出版物ステータスPublished - 2012 8 20
イベント9th International Conference on Networked Sensing Systems, INSS 2012 - Antwerp, Belgium
継続期間: 2012 6 112012 6 14

出版物シリーズ

名前9th International Conference on Networked Sensing Systems, INSS 2012 - Conference Proceedings

Other

Other9th International Conference on Networked Sensing Systems, INSS 2012
Belgium
Antwerp
期間12/6/1112/6/14

    フィンガープリント

ASJC Scopus subject areas

  • Computer Networks and Communications

これを引用

Fujino, T., & Honda, S. (2012). An extension of regression-based automatic calibration method for sensor networks. : 9th International Conference on Networked Sensing Systems, INSS 2012 - Conference Proceedings [6240569] (9th International Conference on Networked Sensing Systems, INSS 2012 - Conference Proceedings).