DocumentCode
179559
Title
Consensus algorithms with state-dependent weights
Author
Sluciak, Ondrej ; Rupp, Markus
Author_Institution
Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria
fYear
2014
fDate
4-9 May 2014
Firstpage
5462
Lastpage
5466
Abstract
We provide an analysis of a consensus-type algorithm with weights dependent only on the received data. Differently from previous approaches that require a global knowledge of the network, we consider general weights inferred only from local data which can be modified by local functions on each node. We provide convergence conditions of such algorithms for general weight functions and derive analytical steady states in some selected cases.
Keywords
convergence; distributed algorithms; matrix algebra; sensor fusion; analytical steady states; convergence conditions; distributed consensus-type algorithm; general weight functions; received data; state-dependent weights; Convergence; Markov processes; Network topology; Nickel; Signal processing algorithms; Steady-state; Topology; consensus; convergence; weights;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6854647
Filename
6854647
Link To Document