Power Line Communications Networking Method Based on Hybrid Ant Colony and Genetic Algorithm
| Autor: | Huan Jin, Xueyi Zhang, Qianghui Xiao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Transmission delay
Computer science Distributed computing Ant colony optimization algorithms Computer Science::Neural and Evolutionary Computation Logical topology Topology (electrical circuits) 02 engineering and technology Ant colony 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Power-line communication Genetic algorithm Routing (electronic design automation) 0210 nano-technology |
| Zdroj: | Engineering. 12:581-590 |
| ISSN: | 1947-394X 1947-3931 |
| DOI: | 10.4236/eng.2020.128040 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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