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20092026
most citedPath computation in multi-layer networks: Complexity and algorithms

12 citations · 31 across the 24 of their papers we have counts for

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12 papers · 1 filter

cs.DC2022

Self-stabilization and byzantine tolerance for maximal independent

Johanne Cohen, Laurence Pilard, François Pirot +1

We analyze the impact of transient and Byzantine faults on the construction of a maximal independent set in a general network. We adapt the self-stabilizing algorithm presented by…

cs.DC2022

Making Self-Stabilizing any Locally Greedy Problem

Johanne Cohen, Laurence Pilard, Mikaël Rabie +1

We propose a way to transform synchronous distributed algorithms solving locally greedy and mendable problems into self-stabilizing algorithms in anonymous networks. Mendable probl…

cs.DC2021

Self-Stabilization and Byzantine Tolerance for Maximal Independent Set

Johanne Cohen, Laurence Pilard, Jonas Sénizergues

We analyze the impact of transient and Byzantine faults on the construction of a maximal independent set in a general network. We adapt the self-stabilizing algorithm presented by…

cs.DC2017

A self-stabilizing algorithm for maximal matching in link-register model in moves

Johanne Cohen, Georges Manoussakis, Laurence Pilard +1

In the matching problem, each node maintains a pointer to one of its neighbor or to , and a maximal matching is computed when each node points either to a neighbor that itsel…

cs.DC2016

Polynomial self-stabilizing algorithm and proof for a 2/3-approximation of a maximum matching

Johanne Cohen, Khaled Maâmra, George Manoussakis +1

We present the first polynomial self-stabilizing algorithm for finding a -approximation of a maximum matching in a general graph. The previous best known algorithm has bee…

cs.DC2016

Self-Stabilizing Maximal Matching and Anonymous Networks

Johanne Cohen, Jonas Lefèvre, Khaled Maâmra +2

We propose a self-stabilizing algorithm for computing a maximal matching in an anonymous network. The complexity is moves with high probability, under the adversarial dist…