• DocumentCode
    720253
  • Title

    Multi-agent system of systems to monitor wildfires

  • Author

    Gomez, Mauricio ; Yongho Kim ; Matson, Eric ; Tolstykh, Maria ; Munizzi, Michael

  • Author_Institution
    Comput. & Inf. Technol., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2015
  • fDate
    17-20 May 2015
  • Firstpage
    262
  • Lastpage
    267
  • Abstract
    Wildfire monitoring and mitigation have been worldwide challenges in disaster reduction for quite a while. However as time goes, more and more acres of virgin forests continue being consumed. A problem like a wildfire can be analyzed from a System of Systems (SoS) point of view. The reason for this is because of the nature of all the involved stakeholders. In this work we discuss the benefits of developing a collaborative collection of systems. Approach that can quickly and effectively locate and track the spread of wildfires. To finish comparing it to monolithic approaches that have been vastly used until now. Agent based modelling (ABM) is used to show the different interaction of each of the different systems including different system network configuration. Our consideration in SoS problem is to find an effective configuration network communication between agents. To discover robustness with limited number of existing agents is also one of the concerns to improve.
  • Keywords
    autonomous aerial vehicles; emergency management; forestry; multi-agent systems; multi-robot systems; wildfires; ABM; SoS problem; agent based modelling; collaborative system collection; configuration network communication; disaster reduction; multiagent system of systems; system network configuration; virgin forests; wildfire mitigation; wildfire monitoring; Collaboration; Computational modeling; Fires; Mathematical model; Satellites; Agent Based Modelling; System of Systems; Wildfire monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering Conference (SoSE), 2015 10th
  • Conference_Location
    San Antonio, TX
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2015.7151913
  • Filename
    7151913