Max-Consensus with Deterministic Convergence in Directed Graphs with Unreliable Communication Links

Fuente: arXiv
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Autori principali: Rikos, Apostolos I., Hu, Jiaqi, Charalambous, Themistoklis, Johannson, Karl Henrik
Natura: Preprint
Pubblicazione: 2024
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author Rikos, Apostolos I.
Hu, Jiaqi
Charalambous, Themistoklis
Johannson, Karl Henrik
author_facet Rikos, Apostolos I.
Hu, Jiaqi
Charalambous, Themistoklis
Johannson, Karl Henrik
contents We present DMaC, a novel distributed, finite-time algorithm that guarantees max-consensus in directed networks with unreliable communication links experiencing packet drops. Unlike existing methods, DMaC ensures all nodes compute the exact maximum state under arbitrary packet loss patterns. It incorporates a fully distributed termination mechanism, enabling nodes to autonomously determine whether convergence has occurred. Our algorithm leverages narrowband error-free feedback channels to acknowledge successful (single-bit) transmissions with minimal communication overhead. We analyze our algorithm's operation, and we provide a convergence proof establishing explicit bounds on the required time steps. We validate its correctness in a wireless sensor network for environmental monitoring, and finally, we compare against existing approaches highlighting our algorithm's operational advantages.
format Preprint
id arxiv_https___arxiv_org_abs_2402_18719
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Max-Consensus with Deterministic Convergence in Directed Graphs with Unreliable Communication Links
Rikos, Apostolos I.
Hu, Jiaqi
Charalambous, Themistoklis
Johannson, Karl Henrik
Systems and Control
We present DMaC, a novel distributed, finite-time algorithm that guarantees max-consensus in directed networks with unreliable communication links experiencing packet drops. Unlike existing methods, DMaC ensures all nodes compute the exact maximum state under arbitrary packet loss patterns. It incorporates a fully distributed termination mechanism, enabling nodes to autonomously determine whether convergence has occurred. Our algorithm leverages narrowband error-free feedback channels to acknowledge successful (single-bit) transmissions with minimal communication overhead. We analyze our algorithm's operation, and we provide a convergence proof establishing explicit bounds on the required time steps. We validate its correctness in a wireless sensor network for environmental monitoring, and finally, we compare against existing approaches highlighting our algorithm's operational advantages.
title Max-Consensus with Deterministic Convergence in Directed Graphs with Unreliable Communication Links
topic Systems and Control
url https://arxiv.org/abs/2402.18719