• DocumentCode
    2387234
  • Title

    Flocking control of a mobile sensor network to track and observe a moving target

  • Author

    La, Hung M. ; Sheng, Weihua

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
  • fYear
    2009
  • fDate
    12-17 May 2009
  • Firstpage
    3129
  • Lastpage
    3134
  • Abstract
    This paper presents a new approach to flocking control of a mobile sensor network to track a moving target. In our approach, the center of mass (CoM) of positions and velocities of all mobile sensors in the network (Single-CoM) or the center of mass of position and velocity of each sensor and its neighbors (Multi-CoM) is controlled to track and observe a moving target. In addition, we prove that the CoM of position and velocity exponentially converges to the moving target in free space. Based on this approach, the target is kept at the center of the sensor network. This is of great advantage for sensors to track and observe the target for recognition or identification purposes. In addition, collision-free and velocity matching among mobile sensors are guaranteed in the whole process of the target tracking. We also investigate the stability of our algorithms. The numerical simulations are performed to demonstrate the proposed approach.
  • Keywords
    collision avoidance; distributed sensors; mobile robots; pattern matching; target tracking; velocity control; center-of-mass; flocking control; mobile sensor network; moving target tracking; position control; target identification; target recognition; velocity control; velocity matching; Biosensors; Mobile computing; Numerical simulation; Sensor phenomena and characterization; Stability; Target recognition; Target tracking; Underwater tracking; Velocity control; Weight control; Flocking; mobile sensor network; obstacle avoidance; target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
  • Conference_Location
    Kobe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-2788-8
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2009.5152747
  • Filename
    5152747