Quantized Consensus in Noisy Sensor Networks
This paper is concerned with the quantized consensus problem in noisy sensor networks.Using the probabilistic quantization strategy,the quantized consensus is measured by the total relative deviations (TRD)of the sensor data,and an upper bound is given for estimating the range of the TRD.By imposing a constraint on the upper bound,an optimization for minimizing the power consumption is constructed to solve the optimal quantization length.Illustrative examples are provided to demonstrate the effectiveness of the proposed theoretical results.
SONG Haiyu YU Li
College of Information Engineering,Zhejiang University of Technology,and Zhejiang Provincial United Key Laboratory of Embedded Systems,Hangzhou 310023,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01(万方平台首次上网日期,不代表论文的发表时间)