Variance Analysis of Randomized Consensus in Switching Directed Networks

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Departmental Papers (ESE)
General Robotics, Automation, Sensing and Perception Laboratory
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GRASP
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Tahbaz-Salehi, Alireza
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In this paper, we study the asymptotic properties of distributed consensus algorithms over switching directed random networks. More specifically, we focus on consensus algorithms over independent and identically distributed, directed Erdõs-Rényi random graphs, where each agent can communicate with any other agent with some exogenously specified probability p. While it is well-known that consensus algorithms over Erdõs-Rényi random networks result in an asymptotic agreement over the network, an analytical characterization of the distribution of the asymptotic consensus value remains an open question. In this paper, we provide closed-form expressions for the mean and variance of the asymptotic random consensus value, in terms of the size of the network and the probability of communication p. We also provide numerical simulations that illustrate our results.

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2010-06-01
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Departmental Papers (ESE)
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2023-05-17T05:27:28.000
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Suggested Citation: Preciado, V.M., A. Tahbaz-Salehi and A. Jadbabaie. (2010). "Variance Analysis of Randomized Consensus in Switching Directed Networks." 2010 American Control Conference. Baltimore, MD. June 30-July 2, 2010. ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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