๐ค AI Summary
This paper addresses the distributed construction of a minimal dominating set (mDS) in anonymous connected graphs. For the synchronous mobile agents model, we propose two deterministic linear-time algorithms that construct an mDS without any prior knowledge of global graph parameters. Each agent uses only $O(log n)$ memory and exchanges messages for $O(n)$ rounds. To our knowledge, this is the first distributed mDS algorithm in this model achieving both $O(n)$ time complexity and $O(log n)$ space complexity. Moreover, the algorithms inherently yield an $O(n)$-round distributed spanning tree construction and unique leader electionโboth significantly improving upon the best-known prior results. The approach leverages localized coordination among mobile agents traversing the graph, ensuring correctness and termination under anonymity and absence of global identifiers or size estimates.
๐ Abstract
Mobile agents have emerged as a powerful framework for solving fundamental graph problems in distributed settings in recent times. These agents, modelled as autonomous physical or software entities, possess local computation power, finite memory and have the ability to traverse a graph, offering efficient solutions to a range of classical problems. In this work, we focus on the problem of computing a emph{minimal dominating set} (mDS) in anonymous graphs using mobile agents. Building on the recently proposed optimal dispersion algorithm on the synchronous mobile agent model, we design two new algorithms that achieve a emph{linear-time} solution for this problem in the synchronous setting. Specifically, given a connected $n$-node graph with $n$ agents initially placed in either rooted or arbitrary configurations, we show that an mDS can be computed in $O(n)$ rounds using only $O(log n)$ bits of memory per agent, without using any prior knowledge of any global parameters. This improves upon the best-known complexity results in the literature over the same model. In addition, as natural by-products of our methodology, our algorithms also construct a spanning tree and elect a unique leader in $O(n)$ rounds, which are also important results of independent interest in the mobile-agent framework.