• DocumentCode
    2359115
  • Title

    Robotic Communication Backbone

  • Author

    Santos, Elerson Rubens da S ; Vieira, Marcos A M

  • Author_Institution
    Comput. Sci. Dept., Univ. Fed. de Minas Gerais (UFMG), Belo Horizonte, Brazil
  • fYear
    2012
  • fDate
    16-19 Oct. 2012
  • Firstpage
    62
  • Lastpage
    67
  • Abstract
    Robots with network capabilities can cooperate to establish a network backbone, providing a network service interconnecting a set of clients (humans or mobile robots). In this work, we consider the problem of autonomously deploy a team of robots to establish a wireless backbone in complex environments so that a set of clients is fully-connected. Our solution is divided into two phases. First, we calculate the Euclidean Steiner Tree with the client set as terminals. Then, we define a communicating extended finite state machine so robots can establish the backbone autonomously. We validate our algorithm with simulation and with physical robots (iCreate with ROS) in an indoor environment and demonstrate that we are able to get feasible solutions. We evaluated the establish backbone with important network metric (end to end TCP throughput).
  • Keywords
    finite state machines; indoor radio; mobile robots; multi-robot systems; radio networks; transport protocols; trees (mathematics); Euclidean Steiner tree; autonomous robotic team deployment; complex environments; end to end TCP throughput; extended finite state machine; fully-connected clients; indoor environment; network backbone; network capabilities; network service; robotic communication backbone; wireless backbone; Joining processes; Measurement; Mobile robots; Robot sensing systems; Steiner trees; Wireless communication; Backbone deployment; Robotic Communications; Robotic Routers; Wireless Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics Symposium and Latin American Robotics Symposium (SBR-LARS), 2012 Brazilian
  • Conference_Location
    Fortaleza
  • Print_ISBN
    978-1-4673-4650-4
  • Type

    conf

  • DOI
    10.1109/SBR-LARS.2012.17
  • Filename
    6363320