• DocumentCode
    2554104
  • Title

    Topological navigation of mobile robot in a wireless sensor network

  • Author

    Li, Xiaohai ; Wang, Yu ; Xiao, Jizhong

  • Author_Institution
    Dept. of Comput. Engi neering Technol., City Univ. of New York, Brooklyn, NY, USA
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    1065
  • Lastpage
    1070
  • Abstract
    In this paper we present a novel navigation algorithm for a mobile robot to move across an open area covered by a pre-deployed wireless sensor network. The locations of the sensor nodes are unknown. We assume that from robot´s starting position to the target location, there always exists a known path that the robot should move along. By using Lie derivative, we investigate the changing of signal strength difference along the vector field of robot´s motion, and analytically prove that the signal strength differentiation can tell the correct direction the robot should move into. The proposed algorithm utilizes the wireless signal strength difference to guide the robot to move toward the desired sensor node at each step. The advantage of this algorithm is that the robot does not need to estimate the sensors´ locations in order to topologically navigate through the unknown area and reach the target. Simulation results are included to demonstrate the proposed algorithm.
  • Keywords
    SLAM (robots); mobile robots; navigation; path planning; sensor placement; topology; wireless sensor networks; Lie derivative; mobile robot; predeployed wireless sensor network; robot motion; sensor node location; starting position; target location; topological navigation algorithm; vector field; wireless signal strength differentiation; Mobile agents; Mobile robots; Navigation; Robot kinematics; Robot sensing systems; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970679
  • Filename
    5970679