Self-stabilizing Algorithms for Connected Vertex Cover and Clique Decomposition Problems - Archive ouverte HAL Access content directly
Conference Papers Year : 2014

Self-stabilizing Algorithms for Connected Vertex Cover and Clique Decomposition Problems

Abstract

In many wireless networks, there is no fixed physical backbone nor centralized network management. The nodes of such a network have to self-organize in order to maintain a virtual backbone used to route messages. Moreover, any node of the network can be a priori at the origin of a malicious attack. Thus, in one hand the backbone must be fault-tolerant and in other hand it can be useful to monitor all network communications to identify an attack as soon as possible. We are interested in the minimum Connected Vertex Cover problem, a generalization of the classical minimum Vertex Cover problem, which allows to obtain a connected backbone. Recently, Delbot et al. [11] proposed a new centralized algorithm with a constant approximation ratio of 2 for this problem. In this paper, we propose a distributed and self-stabilizing version of their algorithm with the same approximation guarantee. To the best knowledge of the authors, it is the first distributed and fault-tolerant algorithm for this problem. The approach followed to solve the considered problem is based on the construction of a connected minimal clique partition. Therefore, we also design the first distributed self-stabilizing algorithm for this problem, which is of independent interest.
Fichier principal
Vignette du fichier
1408.2116.pdf (276.85 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-01219847 , version 1 (28-02-2019)

Identifiers

Cite

François Delbot, Christian Laforest, Stéphane Rovedakis. Self-stabilizing Algorithms for Connected Vertex Cover and Clique Decomposition Problems. 18th International Conference on Principles of Distributed Systems, OPODIS 2014, Dec 2014, Cortina d’Ampezzo, Italy. pp.307-322, ⟨10.1007/978-3-319-14472-6_21⟩. ⟨hal-01219847⟩
263 View
230 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More