Resilient Self-Organizing Networks in Multi-Agent Systems via Approximate Random k-Regular Graphs

Deplano D.;Seatzu C.;Franceschelli M.
Ultimo
2022-01-01

Abstract

This paper addresses the problem of making a network of cooperative agents more resilient against disconnections due to link or node failure, or DoS cyber-attacks. We propose a distributed protocol to let the network self-organize and maintain an approximate random k-regular graph topology, which has interesting robustness properties. The proposed method can be applied in a scenario where the agents communicate over an internet protocol, limited to two-hop interactions, and can log-in and log-out according to the framework of open multi- agent systems. We provide a preliminary characterization of the self-organization protocol, and a numerical validation with a comparison with the state-of-art.
2022
Inglese
Proceedings of the IEEE Conference on Decision and Control
978-1-6654-6761-2
Institute of Electrical and Electronics Engineers Inc.
2022-
6448
6453
6
61st IEEE Conference on Decision and Control, CDC 2022
Esperti anonimi
2022
mex
scientifica
Goal 7: Affordable and clean energy
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Dashti, Z. A. Z. S.; Deplano, D.; Seatzu, C.; Franceschelli, M.
273
4
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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