• DocumentCode
    1502979
  • Title

    Task allocation for networked autonomous underwater vehicles in critical missions

  • Author

    Kulkarni, Indraneel S. ; Pompili, Dario

  • Author_Institution
    Dept. of Electr. & Comput. Eng. at Rutgers, State Univ. of New Jersey, Piscataway, NJ, USA
  • Volume
    28
  • Issue
    5
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    716
  • Lastpage
    727
  • Abstract
    Underwater Acoustic Sensor Networks (UW-ASNs) consist of stationary or mobile nodes such as Autonomous Underwater Vehicles (AUVs), which may be classified as propeller-driven vehicles and gliders, that are equipped with a variety of sensors for performing collaborative monitoring tasks. The missions entrusted to the AUVs in this work are critical to human life and property, are bound by severe time and energy constraints, and involve a high degree of inter-vehicular communication. In this work, a task allocation framework for networked AUVs that participate as a team to accomplish critical missions is developed. The team formed as a result of this task allocation framework is the subset of all deployed AUVs that is best suited to accomplish the mission while adhering to the mission constraints. Research specific to this area has been limited, hence a task allocation framework for networked AUVs to accomplish critical missions is proposed.
  • Keywords
    underwater acoustic communication; underwater vehicles; wireless sensor networks; critical missions; gliders; inter-vehicular communication; mobile nodes; networked autonomous underwater vehicles; propeller-driven vehicles; stationary nodes; task allocation; underwater acoustic sensor networks; Acoustic sensors; Collaborative work; Humans; Mobile robots; Monitoring; Propulsion; Remotely operated vehicles; Time factors; Underwater acoustics; Underwater vehicles; Autonomous Vehicles; Gliders; Task Allocation; Underwater Acoustic Sensor Networks;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2010.100609
  • Filename
    5472427