• DocumentCode
    569599
  • Title

    Routing algorithm of power line carrier meter reading based on ant colony genetic algorithm

  • Author

    Ke, Chen ; Xin, Geng ; Xiaoguang, Hu

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    196
  • Lastpage
    201
  • Abstract
    Low voltage power line due to high noise, high attenuation and high time-varying characteristics not only the signal transmission distance was restricted, but also the reliability of communication was reduced, so the meter reading range and accuracy were affected. In this paper, typical topology structure and its characteristics of meter reading system were analyzed in detail, the ant colony genetic algorithm was proposed in this paper to solve the problem of power line carrier meter reading communication routing optimization, the signal transmission distance of meter reading system and the system invulnerability were enhanced by the dynamic routing network. The feasibility and robustness and invulnerability were tested by simulation experiments, the range of power line carrier meter reading was expanded and the reliability of power line communication was improved by algorithm.
  • Keywords
    ant colony optimisation; carrier transmission on power lines; genetic algorithms; metering; telecommunication network reliability; telecommunication network routing; ant colony genetic algorithm; communication reliability; communication routing optimization; dynamic routing network; high attenuation; low voltage power line; meter reading range; power line carrier meter reading; power line communication reliability; routing algorithm; signal transmission distance; time-varying characteristics; Algorithm design and analysis; Genetic algorithms; Meter reading; Network topology; Optimization; Routing; Topology; ant colony algorithm; genetic algorithm; power line carrier meter reading; relay routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-0312-5
  • Type

    conf

  • DOI
    10.1109/INDIN.2012.6301127
  • Filename
    6301127