activity
20072025
most citedAlgorithms For Extracting Timeliness Graphs

7 citations · 19 across the 16 of their papers we have counts for

collaborators

18 papers

cs.DC2025

Can Like Attract Like? A Study of Homonymous Gathering in Networks

Stéphane Devismes, Yoann Dieudonné, Arnaud Labourel

A team of mobile agents, starting from distinct nodes of a network, have to meet at the same node and declare that they all met. Agents execute the same algorithm, which they start…

cs.DS2024

Graph Exploration: The Impact of a Distance Constraint

Stéphane Devismes, Yoann Dieudonné, Arnaud Labourel

A mobile agent, starting from a node of a simple undirected connected graph , has to explore all nodes and edges of using the minimum number of edge traversals. To…

cs.DC2023

Trade-off between Time, Space, and Workload: the case of the Self-stabilizing Unison

Stéphane Devismes, David Ilcinkas, Colette Johnen +1

We present a self-stabilizing algorithm for the (asynchronous) unison problem which achieves an efficient trade-off between time, workload, and space in a weak model. Precisely, ou…

cs.DC2023

Making local algorithms efficiently self-stabilizing in arbitrary asynchronous environments

Stéphane Devismes, David Ilcinkas, Colette Johnen +1

This paper deals with the trade-off between time, workload, and versatility in self-stabilization, a general and lightweight fault-tolerant concept in distributed computing.In this…

cs.DC2019

Analysis of a Memory-Efficient Self-Stabilizing BFS Spanning Tree

Ajoy K. Datta, Stéphane Devismes, Colette Johnen +1

We present results on the last topic we collaborate with our late friend, Professor Ajoy Kumar Datta (1958-2019). In this work, we shed new light on a self-stabilizing wave algorit…

cs.DC2019

Infinite Grid Exploration by Disoriented Robots

Quentin Bramas, Stephane Devismes, Pascal Lafourcade

We deal with a set of autonomous robots moving on an infinite grid. Those robots are opaque, have limited visibility capabilities, and run using synchronous Look-Compute-Move cycle…