• DocumentCode
    3538570
  • Title

    Empirical Study of Communication Connectivity Quality for Mobile Robots

  • Author

    Yi Zhong ; Shan Gao ; Yan He

  • Author_Institution
    Key Lab. of Broadband Wireless Commun. & Sensor Networks, Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    187
  • Lastpage
    191
  • Abstract
    For SWARM robots, the complicated tasks should be implemented by the cooperation among the individual robots. Due to the features of mobility and miniaturization, the perception and communication capabilities of such SWARM robots are usually limited. For the communication between the mobile robots, the transmission signal would suffer attenuation and disturbance in terms of the space-time factors in the process of wave propagation, and it could significantly affect the communication connectivity quality. In order to conquer this, the empirical study of the wireless communication connectivity between the mobile robots is presented in the paper, and a novel communication connectivity quality guarantee algorithm using RSSI feedback information and power control technique is proposed to improve the link-state quality. It relies the virtual force based on the RSSI measurement while utilizes an adaptive transmission power control scheme. The experimental results demonstrate the proposed algorithm is able to effectively conquer the effect from the time and space factors in a certain degree, and improve the connectivity quality of communication between mobile robots, and also achieve the energy efficiency.
  • Keywords
    energy conservation; mobile robots; multi-robot systems; power control; radiocommunication; RSSI feedback information; RSSI measurement; SWARM robot; adaptive transmission power control scheme; communication connectivity quality guarantee algorithm; energy efficiency; link-state quality; mobile robot; power control technique; received signal strength indication; robot cooperation; space-time factor; transmission signal; virtual force; wave propagation; wireless communication connectivity; Mathematical model; Mobile communication; Mobile robots; Power control; Robot sensing systems; Wireless sensor networks; Mobile robot; RSSI; communication connectivity quality; power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4673-4825-6
  • Type

    conf

  • DOI
    10.1109/APSCC.2012.10
  • Filename
    6478215