Deterministic Self-Stabilising Leader Election for Programmable Matter with Constant Memory
Jérémie Chalopin, Shantanu Das, Maria Kokkou
TL;DR
The paper tackles deterministic leader election in programmable matter with constant-memory particles by introducing a silent self-stabilising algorithm tailored to simply connected 2D triangular-grid configurations. It combines a constant-memory proof-labelling certificate (edge orientation with limited outgoing edges and no directed triangles) with a simple self-stabilising edge-orientation algorithm, proving convergence to a configuration with a unique sink (the leader) under Gouda fair scheduling. A minimal counterexample proof structure, leveraging boundary geometry and several lemmas on boundary particles, establishes correctness of both the certificate and the algorithm. The work highlights the feasibility of constant-memory, self-stabilising leader election in geometry-rich programmable matter and motivates future directions for scheduler assumptions and broader graph classes.
Abstract
The problem of electing a unique leader is central to all distributed systems, including programmable matter systems where particles have constant size memory. In this paper, we present a silent self-stabilising, deterministic, stationary, election algorithm for particles having constant memory, assuming that the system is simply connected. Our algorithm is elegant and simple, and requires constant memory per particle. We prove that our algorithm always stabilises to a configuration with a unique leader, under a daemon satisfying some fairness guarantees (Gouda fairness [Gouda 2001]). We use the special geometric properties of programmable matter in 2D triangular grids to obtain the first self-stabilising algorithm for such systems. This result is surprising since it is known that silent self-stabilising algorithms for election in general distributed networks require $Ω(\log{n})$ bits of memory per node, even for ring topologies [Dolev et al. 1999].
