Social Organisation of Mobile Sensors for Wildfire Spread Estimation

Théo Plénet (1) , Clément Raïevsky (2) , Laurent Lefèvre (2) , Samira El Yacoubi (1)

1 IMAGES-Espace DEV - Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement
2 LCIS - Laboratoire de Conception et d'Intégration des Systèmes

In this paper, we focus on the social organisation of mobile sensor network for the observation of distributed parameter systems. We built a framework that allows us to compare different social organisation in terms of observation performance. First, we studied the topology of generic social organisation with graph theory criteria. Then, we benchmarked some of these organisations when we applied them to mobile sensor network for the observation of a cellular-automaton simulated wildfire.

Mots clés: Forest Fire Spread Dynamics; Mobile Sensors; Multi-agent Systems; Cellular Automaton; Distributed-Parameter Systems; Observers

Domaines: Système multi-agents [cs.MA]; Ingénierie de l'environnement

Théo Plénet, Clément Raïevsky, Laurent Lefèvre, Samira El Yacoubi. Social Organisation of Mobile Sensors for Wildfire Spread Estimation. IFAC-PapersOnLine, 2020, 53 (2), pp.3596-3601. ⟨10.1016/j.ifacol.2020.12.2545⟩. ⟨hal-03205992⟩