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
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;
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301127
