Quantized consensus

被引:544
作者
Kashyap, Akshay [1 ]
Basar, Tamer [1 ]
Srikant, R. [1 ]
机构
[1] Univ Illinois, Dept Elect & Comp Engn, Urbana, IL 61801 USA
关键词
sensor fusion; quantization; distributed detection; estimation algorithms; stochastic systems; random processes; clock synchronization;
D O I
10.1016/j.automatica.2007.01.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study the distributed averaging problem on arbitrary connected graphs, with the additional constraint that the value at each node is an integer. This discretized distributed averaging problem models several problems of interest, such as averaging in a network with finite capacity channels and load balancing in a processor network. We describe simple randomized distributed algorithms which achieve consensus to the extent that the discrete nature of the problem permits. We give bounds on the convergence time of these algorithms for fully connected networks and linear networks. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1192 / 1203
页数:12
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