Title :
Nonlinear average consensus based on weight morphing
Author :
Schwarz, Valentin ; Matz, Gerald
Author_Institution :
Inst. of Commun. & Radio-Freq. Eng., Vienna Univ. of Technol., Vienna, Austria
Abstract :
We present a novel weight design for average consensus that improves its transient and stead-state performance. The idea is to blend Metropolis-Hastings weights and convex-optimization weights via signal-adaptive morphing coefficients. The resulting scheme is shown to be particularly useful in dynamic scenarios where the measurements feature abrupt changes or unknown noise levels.
Keywords :
adaptive signal processing; convex programming; transient analysis; wireless sensor networks; Metropolis-Hastings weights; convex-optimization weights; noise levels; nonlinear average consensus; signal-adaptive morphing coefficients; stead-state performance; transient performance; weight morphing design; wireless sensor networks; Convergence; Eigenvalues and eigenfunctions; Sensors; Signal to noise ratio; Transient analysis; Weight measurement; Wireless sensor networks; Average consensus; distributed inference; wireless sensor networks;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288578
