WEKO3
インデックスリンク
アイテム
Sensor network scheduling algorithm considering estimation error variance and communication energy
http://hdl.handle.net/2297/26258
http://hdl.handle.net/2297/26258f7ffb66b-0d23-414c-85ca-de4ccb6d578b
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-NAMERIKAWA-T-434.pdf (1.1 MB)
|
|
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | Sensor network scheduling algorithm considering estimation error variance and communication energy | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Takeda, Takashi
× Takeda, Takashi× Namerikawa, Toru |
|||||
| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 金沢大学理工研究域 | |||||
| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 慶應義塾大学 | |||||
| 書誌情報 |
Proceedings of the IEEE International Conference on Control Applications 号 5611316, p. 434-439, 発行日 2010-01-01 |
|||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1109/CCA.2010.5611316 | |||||
| 出版者 | ||||||
| 出版者 | IEEE = Institute of Electrical and Electronics Engineers | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This paper deals with a sensor scheduling algrithm considering estimation error variance and communication energy in sensor networked feedback systems. We propose a novel decentralized estimation algorithm with unknown inputs in each sensor node. Most existing works deal with the sensor network systems as sensing systems and it is difficult to apply them to the real physical feedback control systems Then some local estimates are merged and the merged estimates can be optimized in the proposed method and the estimation error covariance has a unique positive definite solution under some assumptions. Next, we propose a novel sensor scheduling algorithm in which each sensor node transmits information. A sensor node uses energy by communication between other sensor node or the plant. The proposed algorithm achieves a sub-optimal network topology with minimum energy and a desired variance. Experimental results show an effectiveness of the proposed method. © 2010 IEEE. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
