Complementary Time-Space Tradeoff for Self-Stabilizing Leader Election: Polynomial States Meet Sublinear Time
Yuichi Sudo

TL;DR
This paper introduces a new self-stabilizing leader election protocol in population protocols that balances time and space, achieving sublinear expected stabilization time with polynomial states for certain parameters.
Contribution
It presents a novel time-space tradeoff protocol for SS-LE that uses fewer states than previous methods while achieving sublinear expected stabilization time for specific parameter ranges.
Findings
Achieves $O(rac{n}{ ho} imes ext{log} ho)$ expected time with $2^{2 ho ext{log}^2 ho + O( ext{log} n)}$ states.
Uses significantly fewer states than prior work for stabilization times above $ heta(\sqrt{n} ext{log} n)$.
First protocol to attain sublinear time with polynomial states when $ ho = heta(rac{ ext{log} n}{ ext{log}^2 ext{log} n})$.
Abstract
We study the self-stabilizing leader election (SS-LE) problem in the population protocol model, assuming exact knowledge of the population size . Burman, Chen, Chen, Doty, Nowak, Severson, and Xu [BCC+21] (PODC) showed that this problem can be solved in expected time with states. Recently, G\k{a}sieniec, Grodzicki, and Stachowiak [GGS25] (PODC) proved that states suffice to achieve time both in expectation and with high probability (w.h.p.). If substantially more states are available, sublinear time can be achieved. The authors of [BCC+21] presented a -state SS-LE protocol with a parameter : setting yields an optimal time both in expectation and w.h.p., while results in expected time. Recently, Austin, Berenbrink, Friedetzky, G\"otte,…
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Taxonomy
TopicsDistributed systems and fault tolerance · DNA and Biological Computing · Logic, Reasoning, and Knowledge
