• DocumentCode
    3057493
  • Title

    Automation of a multiple robot self-organizing multi-hop mobile ad-hoc network (MANET) using signal strength

  • Author

    Necsulescu, Philip ; Schilling, Klaus

  • Author_Institution
    Comput. Sci. VII, Univ. of Wurzburg, Wurzburg, Germany
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    505
  • Lastpage
    510
  • Abstract
    The paper presents an algorithm and simulation results for enhancing the communication network performance of a multiple mobile robot self-organizing Mobile Ad-hoc Network (MANET). The approach is based on the signal strength between the operator, an autonomous robot, and a remotely operated robot. The paper focuses on a new approach for autonomous robot control using signal intensity for robot motion control rather than the usual position control or tracking control methods. This approach for self-organizing MANETs is intended to be used with the signal strength based routing protocol that has already been developed. The new approach is illustrated by simulation results that demonstrate an increased operational range for multiple robot deployment in a corridor.
  • Keywords
    mobile ad hoc networks; mobile robots; motion control; multi-robot systems; routing protocols; self-adjusting systems; MANET; autonomous robot control; communication network performance; multihop mobile ad hoc network; multiple mobile robot self-organizing system; multiple robot deployment; multiple robot self-organization; remotely operated robot; robot motion control; routing protocol; signal intensity; signal strength; Collision avoidance; Mobile communication; Mobile computing; Relays; Robot kinematics; Robot sensing systems; MANET; Mobile Ad-hoc Network; Self-Organizing MANET; Signal Strength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
  • Conference_Location
    Pisa
  • Type

    conf

  • DOI
    10.1109/I2MTC.2015.7151319
  • Filename
    7151319