• DocumentCode
    3496291
  • Title

    New variants of Ant Colony Optimization for Network Routing

  • Author

    Mukherjee, Debasmita ; Acharyya, Sriyankar

  • Author_Institution
    West Bengal Univ. of Technol., Kolkata, India
  • fYear
    2011
  • fDate
    22-24 Dec. 2011
  • Firstpage
    445
  • Lastpage
    450
  • Abstract
    This paper suggests new variants of Ant Colony Optimization(ACO)Techniques for Network Routing. There are three existing variants of ACO based on pheromone deposit calculation. In our earlier work we suggested three different heuristics for selecting the next node at each step of iteration. Incorporation of these heuristics in each of the above three variants result into nine variations. In this paper the performance of these nine variations have been studied. Moreover, we have modified the pheromone deposit calculation considering the transmission time of each successful packet(ant) and incorporated this new pheromone update formula in each of the nine variants. As a result, we have obtained nine new variants of ACO. The performance of these new nine variants have been compared with previous ones with respect to the speed of execution, throughput and the number of successful packets. In this paper it has been observed that the new variations of ACO have outperformed the previous. These new variants can perform efficient network routing in an environment having variable transmission time along the paths due to congestion or poor link quality.
  • Keywords
    iterative methods; optimisation; telecommunication network routing; ant colony optimization; congestion; iteration step; network routing; pheromone deposit calculation; poor link quality; successful packets; variable transmission time; Artificial neural networks; Reliability; ACO; Network Routing; metaheuristics; transmission time pheromone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (ICCIT), 2011 14th International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-61284-907-2
  • Type

    conf

  • DOI
    10.1109/ICCITechn.2011.6164831
  • Filename
    6164831