Talks and Poster Presentations (with Proceedings-Entry):
V. Schwarz, G. Matz:
"Average Consensus in Wireless Sensor Networks: Will It Blend?";
Poster: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013),
Vancouver, Canada;
05-26-2013
- 05-31-2013; in: "Proc. IEEE ICASSP-2013",
IEEE,
(2013),
ISSN: 1520-6149;
4584
- 4588.
English abstract:
Average consensus (AC) is a popular method for distributed in-network averaging that is closely related to diffusion processes. Recently, it has been suggested that AC designs inspired by physical advection processes feature improved performance. In this paper, we show how such advection-diffusion inspired AC designs can be obtained for realistic network topologies. The resulting AC algorithms act like a blender that mixes the measured data. Numerical simulations corroborate the performance improvements of our blending approach to the design of AC algorithms.
Keywords:
Average consensus, wireless sensor networks, distributed inference, advection-diffusion equation
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICASSP.2013.6638528
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_224110.pdf
Created from the Publication Database of the Vienna University of Technology.