• DocumentCode
    166500
  • Title

    A distributed control law for optimum sensor placement for source localization

  • Author

    Achanta, Hema Kumari ; Dasgupta, S. ; Weiyu Xu ; Mudumbai, Raghuraman ; Erwei Bai

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    915
  • Lastpage
    919
  • Abstract
    We formulate a nonlinear distributed control law that guides the motion a group of sensors to achieve a configuration that permits them to optimally localize a hazardous source they must keep a prescribed distance from. Earlier work shows that such a configuration involves the sensors being placed in an equispaced manner on a prescribed circle. The nonlinear control law we propose assumes that each sensor resides and moves on the prescribed circle, by accessing only the states of its two immediate clockwise and counterclockwise neighbors. We theoretically prove and verify through simulations, that the law allows the sensors to achieve the desired configuration while avoiding collisions.
  • Keywords
    distributed control; nonlinear control systems; sensor placement; collision avoidance; counterclockwise neighbor; nonlinear distributed control law; optimum sensor placement; source localization; Artificial neural networks; Clocks; Computational modeling; Network topology; Sensors; Topology; Adaptive; Distributed Control Law; Localization; Optimal; Self-organization; Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968616
  • Filename
    6968616