Pseudo Two-Hop Distributed Consensus with Noise

Abstract:

In this paper, we analyze the pseudo two-hop distributed consensus algorithm with communication noise. If there is communication noise among agents, the convergence performance of distributed consensus algorithms degrades. Supposing that the communication noises are zero-mean Gaussian white noise, and the noises are irrelevant and independent in time and spatial, we analyze the convergence performance of the pseudo two-hop distributed consensus algorithm with noise, and calculate mean square errors and the upper bound of mean-square error of the pseudo two-hop distributed consensus algorithm. Finally, simulation results are provided to verify these analytical results.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 393-396
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.393
• Online since: February 2014
• Authors: Huan Xin Peng*, Bin Liu, Wen Kai Wang
• Keywords: Distributed Consensus, Noise, Pseudo Two-Hop Algorithm

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