Talks and Poster Presentations (with Proceedings-Entry):
V. Schwarz, G. Matz:
"Mean-Square Optimal Weight Design For Average Consensus";
Poster: IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC),
Cesme, Turkey;
06-17-2012
- 06-20-2012; in: "Proc. IEEE SPAWC-2012",
IEEE,
(2012),
ISBN: 978-1-4673-0970-7;
374
- 378.
English abstract:
In this work we investigate the best possible convergence of average consensus in the mean-square sense with weights that change over time. Although this convergence may be hard to achieve in practice, it provides useful practical insights into the behavior of average consensus. In particular, we show that the correlation between the states plays an important role in the design of the weights and that the weight-morphing scheme proposed in our previous work is close to optimal both for correlated and uncorrelated measurements.
Keywords:
average consensus , distributed inference , wireless sensor networks
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/SPAWC.2012.6292931
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_212691.pdf
Created from the Publication Database of the Vienna University of Technology.