Communication Efficient Self-Stabilizing Leader Election (Full Version)

Abstract

This paper presents a randomized self-stabilizing algorithm that elects a leader $r$ in a general $n$-node undirected graph and constructs a spanning tree $T$ rooted at $r$. The algorithm works under the synchronous message passing network model, assuming that the nodes know a linear upper bound on $n$ and that each edge has a unique ID known to both its endpoints (or, alternatively, assuming the $K{T}_1$ model). The highlight of this algorithm is its superior communication efficiency: It is guaranteed to send a total of $\tilde{O}(n)$ messages, each of constant size, till stabilization, while stabilizing in $\tilde{O}(n)$ rounds, in expectation and with high probability. After stabilization, the algorithm sends at most one constant size message per round while communicating only over the ($n-1$) edges of $T$. In all these aspects, the communication overhead of the new algorithm is far smaller than that of the existing (mostly deterministic) self-stabilizing leader election algorithms. The algorithm is relatively simple and relies mostly on known modules that are common in the fault free leader election literature; these modules are enhanced in various subtle ways in order to assemble them into a communication efficient self-stabilizing algorithm.

An extended abstract version of this manuscript has been accepted for publication in DISC 2020