DocumentCode :
3519939
Title :
Ranging energy optimization for robust sensor positioning
Author :
Wang, Tao ; Leus, Geert ; Neirynck, Dries ; Shu, Feng ; Huang, Li
Author_Institution :
Dept. Electr. Eng., Delft Univ. of Technol., Delft
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
2237
Lastpage :
2240
Abstract :
We address ranging energy optimization for an unsynchronized localization system, which features robust sensor positioning, in the sense that specific accuracy requirements are fulfilled within a prescribed service area. Optimization problems related to the ranging energy of a sensor and beacons are proposed, after which a practical algorithm based on semidefinite programming is presented. The effectiveness of the algorithm is illustrated by a numerical experiment.
Keywords :
mathematical programming; wireless sensor networks; beacons; ranging energy optimization; robust sensor positioning; semidefinite programming; unsynchronized localization system; Central Processing Unit; Energy efficiency; Gaussian distribution; Maximum likelihood estimation; Power system reliability; Robustness; Sensor fusion; Sensor systems; Sufficient conditions; Wireless sensor networks; Cramér-Rao bound; localization; semidefinite programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4960064
Filename :
4960064
Link To Document :
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