This paper presents a consensus protocol that achieves max-consensus in multi-agent systems over wireless channels. Interference, a feature of the wireless channel, is exploited: each agent receives a superposition of broadcast data, rather than individual values. With this information, the system endowed with the proposed consensus protocol reaches max-consensus in a finite number of steps. A comparison with traditional approaches shows that the proposed consensus protocol achieves a faster convergence.
@article{arxiv.1805.06724,
title = {Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems},
author = {Fabio Molinari and Sławomir Stańczak and Jörg Raisch},
journal= {arXiv preprint arXiv:1805.06724},
year = {2018}
}
Comments
Submitted for IFAC Workshop on Distributed Estimation and Control in Networked Systems