Macro-calibration in sensor/actuator networks

被引:26
作者
Whitehouse, K [1 ]
Culler, D [1 ]
机构
[1] Univ Calif Berkeley, Berkeley, CA 94720 USA
关键词
calibration; sensor networks; parameter estimation;
D O I
10.1023/A:1024548100497
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We describe an ad-hoc localization system for sensor networks and explain why traditional calibration methods are inadequate for this system. Building upon previous work, we frame calibration as a parameter estimation problem; we parameterize each device and choose the values of those parameters that optimize the overall system performance. This method reduces our average error from 74.6% without calibration to 10.1%. We propose ways to expand this technique to a method of autocalibration for localization as well as to other sensor network applications.
引用
收藏
页码:463 / 472
页数:10
相关论文
共 16 条
[1]  
[Anonymous], DESIGN CALIBRATION S
[2]  
Bahl P., 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), P775, DOI 10.1109/INFCOM.2000.832252
[3]  
Barrett R., 1994, Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods, V2nd ed.
[4]   A reflective Newton method for minimizing a quadratic function subject to bounds on some of the variables [J].
Coleman, TF ;
Li, YY .
SIAM JOURNAL ON OPTIMIZATION, 1996, 6 (04) :1040-1058
[5]  
CROSSBOW, LP SERIES ACCELEROME
[6]  
DOHERT L, 2001, INFOCOM LOS AL CA
[7]  
ELSON LGJ, 2002, 5 S OP SYST DES IMPL
[8]  
HARTER A, 1999, P 5 ANN ACM IEEE INT, P59, DOI DOI 10.1145/313451.313476
[9]  
HILL J, 2000, ACM ASP LOS, V9
[10]   Autocalibration of an electronic compass in an outdoor Augmented Reality system [J].
Hoff, B ;
Azuma, R .
IEEE AND ACM INTERNATIONAL SYMPOSIUM ON AUGMENTED REALITY, PROCEEDING, 2000, :159-164