• DocumentCode
    190963
  • Title

    A novel Ant Colony Algorithm using available path information for PLC networking

  • Author

    Yu Zeng ; Xiaofang Zhou ; Linshan Zhang

  • Author_Institution
    State Key Lab. of ASIC & Syst., Fudan Univ., Shanghai, China
  • fYear
    2014
  • fDate
    5-8 Aug. 2014
  • Firstpage
    499
  • Lastpage
    502
  • Abstract
    Power Line Carrier communication is a fast-developing technology and finds many applications, such as automatic meter-reading system. However, as the one-hop communication distance is limited due to the channel attenuation and strong line noises, relay technology is necessary for PLC networking. Among all the relay methods, Ant Colony Algorithm is a promising one but still with some shortcomings, such as the long searching time and the inclination to find a local optimal solution. This article provided a simple but effective algorithm to make use of the available path information to speed up the searching process, and reach the global optimal path. Experiment results show the presented algorithm can improve convergence time by 13.5%.
  • Keywords
    ant colony optimisation; automatic meter reading; carrier transmission on power lines; PLC networking; ant colony algorithm; automatic meter-reading system; channel attenuation; one-hop communication distance; power line carrier communication; Clustering algorithms; Convergence; Genetic algorithms; Heuristic algorithms; Relays; Routing; Topology; Ant Colony Algorithm; Genetic Algorithm; PLC routing; relay technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4799-5272-4
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2014.6986244
  • Filename
    6986244