Minimalist Leader Election Under Weak Communication

We propose a protocol to solve Leader Election within weak communication models such as the beeping model or the stone-age model. Unlike most previous work, our algorithm operates on only six states, does not require unique identifiers, and assumes no prior knowledge of the network's size or topology, i.e., it is uniform. We show that under our protocol, the system converges almost surely to a configuration in which a single node is in a leader state. With high probability, this occurs in fewer than O(D2 log n) rounds, where D is the network diameter. We also show that this can be decreased to O(D log n) when an approximation of D is known. The main drawbacks of our approach are a [EQUATION] overhead in the running time compared to algorithms with stronger requirements, and the fact that nodes are unaware of when a single-leader configuration is reached. Nevertheless, the minimal assumptions and natural appeal of our solution make it particularly well-suited for implementation in the simplest distributed systems, especially biological ones.

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Published
2025-06-13
DOI
https://doi.org/10.1145/3732772.3733559
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Minimalist Leader Election Under Weak Communication

Robin Vacus, Isabella Ziccardi
Game Theory and Applications
article

Minimalist Leader Election Under Weak Communication

Robin Vacus, Isabella Ziccardi
article en

Abstract

We propose a protocol to solve Leader Election within weak communication models such as the beeping model or the stone-age model. Unlike most previous work, our algorithm operates on only six states, does not require unique identifiers, and assumes no prior knowledge of the network's size or topology, i.e., it is uniform. We show that under our protocol, the system converges almost surely to a configuration in which a single node is in a leader state. With high probability, this occurs in fewer than O(D2 log n) rounds, where D is the network diameter. We also show that this can be decreased to O(D log n) when an approximation of D is known. The main drawbacks of our approach are a [EQUATION] overhead in the running time compared to algorithms with stronger requirements, and the fact that nodes are unaware of when a single-leader configuration is reached. Nevertheless, the minimal assumptions and natural appeal of our solution make it particularly well-suited for implementation in the simplest distributed systems, especially biological ones.

Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Humboldt-Universität zu Berlin (DE), Sorbonne Paris Cité (FR)
Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Università Bocconi, QuantERA
Openalex Percentile: Top 84%
Game Theory and Applications
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