• DocumentCode
    694867
  • Title

    Improving AntNet algorithm in routing protocols to find the optimal path according to time

  • Author

    Kashmola, Manar Younis ; Al-Kadow, Noor Rafeh Hamza

  • Author_Institution
    Comput. Sci. Dept., Univ. of Mosul, Mosul, Iraq
  • fYear
    2013
  • fDate
    17-18 Dec. 2013
  • Firstpage
    76
  • Lastpage
    81
  • Abstract
    In this study a new algorithm called Improved AntNet has been proposed and applied to enhance the AntNet algorithm by reducing the probability of selecting the optimal path whenever its goodness had decreased and giving a chance to select other paths, as the algorithm observe the traffic dynamic on each link in the network and specify the probability of selecting it according to its goodness. In this way the proposed algorithm solve the stagnation problem. Two models of network have been implemented using OPNET Modeler software, the proposed algorithm has been implemented on these networks and simulated with different traffic patterns. The proposed algorithm performance has been compared with performance of AntNet algorithm and the protocol OSPF. Simulation results showed that the proposed algorithm performance was better in terms of End-to-end Delay, and distributing links utilizations.
  • Keywords
    ant colony optimisation; probability; routing protocols; telecommunication computing; telecommunication links; telecommunication traffic; OPNET modeler software; ant colony optimization; antnet algorithm improvement; diferent traffic patterns; distributing link utilizations; end-to-end delay; network link; optimal path; probability reduction; protocol OSPF; routing protocols; stagnation problem; time; traffic dynamic; Artificial intelligence; Barium; Bismuth; DH-HEMTs; High definition video; Local area networks; Routing; AntNet Algorithm; Backward Ants; Forward Ants; Local Traffic Model; Pheromone Table;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Communication, Computer, Power, and Control Engineering (ICECCPCE), 2013 International Conference on
  • Conference_Location
    Mosul
  • Type

    conf

  • DOI
    10.1109/ICECCPCE.2013.6998738
  • Filename
    6998738