• DocumentCode
    1641718
  • Title

    A Distributed Location Service for MANET Using Swarm Intelligence

  • Author

    Gajurel, Sanjaya ; Heiferling, Mark

  • Author_Institution
    Bluetronix Inc., Chagrin Falls, OH, USA
  • fYear
    2009
  • Firstpage
    220
  • Lastpage
    225
  • Abstract
    In this paper, a location service algorithm using swarm intelligence techniques, called SLS has been developed to provide location service to all MANET (Mobile Ad Hoc Network) routing protocols. MANET is a network with mobile nodes without Internet like infrastructure where every mobile node acts as a router. The location service is intended to solve the existing problems in MANET due to frequent movements of nodes. A node can know its location using GPS or triangulation based on radio signal characteristics or hardcoded location information if it is a stationary node. There are some location services available for MANET, however, to the best of our knowledge, SLS is the only technique to learn the location of other nodes intelligently and efficiently using swarm concept. SLS has been applied to the Swarm Autonomous Routing Algorithm (SARA) protocol and simulation is performed in QualNet The simulation results have showed better network performance using SLS than without using it.
  • Keywords
    Global Positioning System; ad hoc networks; mobile radio; particle swarm optimisation; radio direction-finding; routing protocols; GPS; MANET; distributed location service; hardcoded location information; mobile ad hoc network routing protocols; radio signal characteristics; swarm autonomous routing algorithm protocol; swarm intelligence; Access protocols; Global Positioning System; IP networks; Insects; Laser sintering; Mobile ad hoc networks; Multicast algorithms; Particle swarm optimization; Routing protocols; WiMAX; Location Server; Location Service; Mobiel Wireless Access (MWA); Mobile Ad Hoc Network (MANET); Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile WiMAX Symposium, 2009. MWS '09. IEEE
  • Conference_Location
    Napa Valley, CA
  • Print_ISBN
    978-1-4244-3989-8
  • Electronic_ISBN
    978-0-7695-3719-1
  • Type

    conf

  • DOI
    10.1109/MWS.2009.10
  • Filename
    5277837