TY - GEN
T1 - An adaptive quantization scheme for distributed consensus
AU - Fang, Jun
AU - Li, Hongbin
PY - 2009
Y1 - 2009
N2 - The problem of distributed average consensus with quantized data is considered in this paper. We firstly propose a simple modification to the classical consensus protocol. Under a condition that the quantization noise variance converges to zero, the proposed protocol achieves a consensus in a mean squared sense and the consensus value is equal to the average of the initial state. Based on this result, we develop an adaptive quantization scheme which can adaptively adjust its quantization threshold and step-size by learning from previous runs, in a way such that the quantization noise variance at each sensor decreases to zero. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.
AB - The problem of distributed average consensus with quantized data is considered in this paper. We firstly propose a simple modification to the classical consensus protocol. Under a condition that the quantization noise variance converges to zero, the proposed protocol achieves a consensus in a mean squared sense and the consensus value is equal to the average of the initial state. Based on this result, we develop an adaptive quantization scheme which can adaptively adjust its quantization threshold and step-size by learning from previous runs, in a way such that the quantization noise variance at each sensor decreases to zero. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.
KW - Distributed average consensus
KW - Quantized data
KW - Wireless sensor network (WSN)
UR - http://www.scopus.com/inward/record.url?scp=70349218025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349218025&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2009.4960199
DO - 10.1109/ICASSP.2009.4960199
M3 - Conference contribution
AN - SCOPUS:70349218025
SN - 9781424423545
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2777
EP - 2780
BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
T2 - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Y2 - 19 April 2009 through 24 April 2009
ER -