• DocumentCode
    3319460
  • Title

    A novel communications protocol using geographic routing for swarming UAVs performing a Search Mission

  • Author

    Lidowski, Robert L. ; Mullins, Barry E. ; Baldwin, Rusty O.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Dayton, OH
  • fYear
    2009
  • fDate
    9-13 March 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper develops a novel communications protocol for autonomous swarms of unmanned aerial vehicles (UAVs) searching a 2-dimensional grid. The search protocol, the UAV search mission protocol (USMP), combines inter-UAV communication with geographic routing to improve search efficiency in terms of total searches, distance traveled by UAVs, and the minimization of UAV direction changes. By determining where search state updates impact search decisions, messages are geographically routed to improve search efficiency. USMP and the geographic greedy perimeter stateless routing (GPSR) protocol are studied via simulation using OPNET modeler 12.0. Geographic routing degrades performance by at least 20% in total searches and distance traveled, but improves direction changes by 6.7%. Overall, USMP improves performance by as much as 188% compared to scenarios without inter-UAV communication.
  • Keywords
    remotely operated vehicles; routing protocols; telerobotics; communications protocol; geographic routing; greedy perimeter stateless routing; search mission; search mission protocol; unmanned aerial vehicles; Degradation; Distributed algorithms; Face detection; Force sensors; Government; Large-scale systems; Paper technology; Reconnaissance; Routing protocols; Unmanned aerial vehicles; communications; geographic routing; unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2009. PerCom 2009. IEEE International Conference on
  • Conference_Location
    Galveston, TX
  • Print_ISBN
    978-1-4244-3304-9
  • Electronic_ISBN
    978-1-4244-3304-9
  • Type

    conf

  • DOI
    10.1109/PERCOM.2009.4912764
  • Filename
    4912764