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  • 标题:Social Organisation of Mobile Sensors for Wildfire Spread Estimation
  • 本地全文:下载
  • 作者:T. Plenet ; C. Raïevsky ; L. Lefèvre
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:3596-3601
  • DOI:10.1016/j.ifacol.2020.12.2545
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we focus on 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.
  • 关键词:KeywordsForest Fire Spread DynamicsMobile SensorsMulti-agent SystemsCellular AutomatonDistributed-Parameter SystemsObservers
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