OPTIMAL COORDINATION OF MOBILE SENSOR NETWORKS USING GAUSSIAN PROCESSES

被引：0

作者：

Xu, Yunfei ^{[1
]}

Choi, Jongeun ^{[1
]}

机构：

[1] Michigan State Univ, Dept Mech Engn, E Lansing, MI 48824 USA

来源：

PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2009, PTS A AND B | 2010年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we introduce a family of spatio-temporal Gaussian processes specified by a class of covariance functions. Nonparametric prediction based on truncated observations is proposed for mobile sensor networks with limited memory and computational power We show that there is a trade-off between precision and efficiency when prediction based on truncated observations is used. Next, we propose both centralized and distributed navigation strategies for mobile sensor networks to move in order to reduce prediction error variances at positions of interest. Simulation results demonstrate the effectiveness of the proposed schemes.

引用

页码：1347 / 1354

页数：8

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