Pseudo Two-Hop Distributed Consensus with Adaptive Quantization

Abstract:

In order to improve the accuracy and the convergence rate of distributed consensus under quantized communication, in the paper, based on adaptive quantization scheme, we propose the pseudo two-hop distributed consensus algorithm. By analyses and simulations, Results show that the pseudo two-hop distributed consensus algorithm based on adaptive quantization can reach an average consensus, and its convergence rate is higher than that of the first-order adaptive quantized distributed consensus algorithm, moreover, the mean square errors are smaller within the finite steps.

• Periodical: Advanced Materials Research (Volumes 889-890)
• Pages: 662-665
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.889-890.662
• Online since: February 2014
• Authors: Huan Xin Peng*, Wen Kai Wang, Bin Liu
• Keywords: Adaptive Quantization, Distributed Consensus, Quantized Communication

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