Distributed tracking of graph parameters in anonymous networks with time-varying topology

Deplano, D;Franceschelli, M
;
Giua, A
2021-01-01

Abstract

In this paper, we propose a distributed protocol for multi-agent systems to estimate and track changes to the diameter, and radius of a network with time-varying topology, as well as the eccentricity of each agent within it. The main strengths of the proposed protocol are its finite-time convergence and robustness to re-initialization, i.e., if there are changes in the network topology or in the agents' states during the protocol execution then it does not need to be re-initialized to converge to the correct estimation at the steady-state. The expected estimation error of the protocol can be traded-off by increasing the size of locally exchanged messages. We provide a theoretical characterization of the expected steady-state error and some numerical simulations.
2021
978-1-6654-3659-5
distributed tracking, time-varying network, anonymous network
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