Brief Announcement: Self-stabilizing Systems in Spite of High Dynamics

We initiate research on self-stabilization in highly dynamic identified message-passing systems where dynamics is modeled using time-varying graphs (TVGs). More precisely, we address the self-stabilizing leader election problem in three wide classes of TVGs: the class $TC^B(∆)$ of TVGs with temporal diameter bounded by $∆$, the class $TC^Q(∆)$ of TVGs with temporal diameter quasi-bounded by $∆$, and the class $TC^R$ of TVGs with recurrent connectivity only, where TC^B(∆) ⊆ $TC^Q(∆) ⊆ TC^R$. We first study conditions under which our problem can be solved. Precisely, we introduce the notion of size-ambiguity to show that the assumption on the knowledge of the number n of processes is central. Our results reveal that, despite the existence of unique process identifiers, any deterministic self-stabilizing leader election algorithm working in the TVG class $TC^Q(∆)$ or $TC^R$ cannot be size-ambiguous, justifying why our solutions for those classes assume the exact knowledge of n. We then present three self-stabilizing leader election algorithms for the TVG classes $TC^B(∆)$, $TC^Q(∆)$, and $TC^R$, respectively.