Non-Uniform Probabilistically Quantized Distributed Consensus Applied on Sensors Network

De Hong Xu; Huan Xin Peng; Bin Liu

doi:10.4028/www.scientific.net/AMM.577.921

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 577Non-Uniform Probabilistically Quantized...

Non-Uniform Probabilistically Quantized Distributed Consensus Applied on Sensors Network

Abstract:

In order to improve the accuracy of distributed consensus under digital communication, in the paper, assuming the initial states of nodes following uniform distribution, a non-uniform quantization scheme based on probabilistic quantization is proposed, and the entire data range is divided based on µ-law non-uniform quantization scheme. The quantization step-size near the average of initial states is smaller, and the corresponding quantization errors are smaller. Base on the proposed quantization scheme, a non-uniform probabilistically quantized distributed consensus algorithm is proposed. The performance and the mean square errors of the non-uniform probabilistically quantized distributed consensus algorithm is analyzed, by analyses and simulations, the results show the non-uniform probabilistically quantized distributed consensus can reach a consensus, and the mean square error is far smaller than that of probabilistically quantized distributed consensus.

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Periodical:

Applied Mechanics and Materials (Volume 577)

Pages:

921-925

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.577.921

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Online since:

July 2014

Authors:

De Hong Xu*, Huan Xin Peng, Bin Liu

Keywords:

Digital Communication, Distributed Consensus, Non-Uniform Quantization, Probabilistic Quantization

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