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

  • Ke Chen*
  • , Xin Geng
  • , Xiaoguang Hu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationINDIN 2012 - IEEE 10th International Conference on Industrial Informatics
Pages196-201
Number of pages6
DOIs
StatePublished - 2012
EventIEEE 10th International Conference on Industrial Informatics, INDIN 2012 - Beijing, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameIEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)1935-4576

Conference

ConferenceIEEE 10th International Conference on Industrial Informatics, INDIN 2012
Country/TerritoryChina
CityBeijing
Period25/07/1227/07/12

Keywords

  • ant colony algorithm
  • genetic algorithm
  • power line carrier meter reading
  • relay routing

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