• DocumentCode
    3579000
  • Title

    Luminous trends in Ant-based algorithms

  • Author

    Karthikeya, Bolla

  • Author_Institution
    School of Computer Science and Engineering, VIT University - Chennai, Chennai, Tamil Nadu, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper presents notable trends in Ant-based algorithms, which are derived from the biological phenomena of swarm intelligence and social insects. Swarm Intelligence is the collective behavior of self-organizing, decentralized natural/artificial systems viz. flock of birds, ants, bees, school of fish and is organized into Bio-inspired networking: these are the techniques based on biological phenomena which are used for efficient and scalable routing. Ant Colony Optimization and Antlike mobile agents are used in Mobile Ad-Hoc Networks (MANETs) which include mobile devices viz. cell phones, laptops, forming an infrastructure-independent network communicating through a wireless connection.
  • Keywords
    Ad hoc networks; Ant colony optimization; Biology; Mobile communication; Mobile computing; Particle swarm optimization; Routing; ACO; ARA; AntHocNet; AntNet; MANETs; Pheromone; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238314
  • Filename
    7238314