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Journal Articles IFAC-PapersOnLine Year : 2020

Social Organisation of Mobile Sensors for Wildfire Spread Estimation

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Abstract

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.
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Dates and versions

hal-03205992 , version 1 (09-06-2022)

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Attribution - NonCommercial - NoDerivatives - CC BY 4.0

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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⟩
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