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Resilient consensus algorithm for the case of flocking with 7 legitimate nodes (black) and 2 spoofed nodes (red) and true average (green).

Our paper “Resilient Multi-Agent Consensus Using Wi-Fi Signals” gets accepted to IEEE Control Systems Letters (L-CSS) 2018!

January 1, 2019

Resilient Multi-Agent Consensus Using Wi-Fi Signals

Stephanie Gil, Cenk Baykal, Daniela Rus

Abstract

Consensus is an important capability at the heart of many multi-agent systems. Unfortunately the ability to reach consensus can be easily disrupted by the presence of an adversarial agent that spawns or spoofs malicious nodes in the network in order to gain a disproportionate influence on the converged value of the...

Read more about Our paper “Resilient Multi-Agent Consensus Using Wi-Fi Signals” gets accepted to IEEE Control Systems Letters (L-CSS) 2018!