Engineering

Volume 12, Issue 8 (August 2020)

ISSN Print: 1947-3931   ISSN Online: 1947-394X

Google-based Impact Factor: 0.66  Citations  

Power Line Communications Networking Method Based on Hybrid Ant Colony and Genetic Algorithm

HTML  XML Download Download as PDF (Size: 1257KB)  PP. 581-590  
DOI: 10.4236/eng.2020.128040    358 Downloads   886 Views  Citations

ABSTRACT

When solving the routing problem with traditional ant colony algorithm, there is scarce in initialize pheromone and a slow convergence and stagnation for the complex network topology and the time-varying characteristics of channel in power line carrier communication of low voltage distribution grid. The algorithm is easy to fall into premature and local optimization. Proposed an automatic network algorithm based on improved transmission delay and the load factor as the evaluation factors. With the requirements of QoS, a logical topology of power line communication network is established. By the experiment of MATLAB simulation, verify that the improved Dynamic hybrid ant colony genetic algorithm (DH_ACGA) algorithm has improved the communication performance, which solved the QoS routing problems of power communication to some extent.

Share and Cite:

Xiao, Q. , Jin, H. and Zhang, X. (2020) Power Line Communications Networking Method Based on Hybrid Ant Colony and Genetic Algorithm. Engineering, 12, 581-590. doi: 10.4236/eng.2020.128040.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.