DocumentCode
2170774
Title
Reduced-complexity bandwidth-constrained distributed estimation for wireless sensor networks
Author
Jacobs, Trent ; Minn, Hlaing ; Al-Dhahir, Naofal
Author_Institution
Univ. of Texas at Dallas, Dallas, TX
fYear
2007
fDate
April 30 2007-May 2 2007
Firstpage
1
Lastpage
5
Abstract
While elegant in form, the maximum likelihood estimator (MLE) for heavily bandwidth-constrained distributed estimation in Gaussian noise is computationally expensive to implement. We consider an alternative estimator for this case which requires far less computational complexity, yet performs close to the MLE under the same operating conditions.
Keywords
Gaussian noise; bandwidth compression; maximum likelihood estimation; wireless sensor networks; Gaussian noise; maximum likelihood estimator; reduced-complexity bandwidth-constrained distributed estimation; wireless sensor networks; Bandwidth; Computational complexity; Computer networks; Distributed computing; Gaussian noise; Maximum likelihood estimation; Parameter estimation; Power transmission; Sensor fusion; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Sarnoff Symposium, 2007 IEEE
Conference_Location
Nassau Inn, Princeton, NJ
Print_ISBN
978-1-4244-2483-2
Type
conf
DOI
10.1109/SARNOF.2007.4567319
Filename
4567319
Link To Document