Networking method and device of power line carrier network, equipment and storage medium
A power line carrier and network technology, applied in the field of networking methods, equipment, storage media, and devices of power line carrier networks, can solve problems such as low networking efficiency
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2022-08-02
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Abstract
Description
technical field
[0001] The present invention relates to the technical field of power line carrier communication, and in particular, to a networking method, device, equipment and storage medium of a power line carrier network. Background technique
[0002] Low-voltage distribution networks often have the characteristics of complex structure, diverse loads and time-varying characteristics, which lead to the dynamic and changeable environment of power line carrier communication. At the same time, due to changes in the channel environment and load, new communication nodes may join the network at any time, and online nodes may also leave the network due to failure, resulting in changes in the topology of the power line carrier communication network, affecting the stability of the communication link and the accuracy of data transmission. . Therefore, it is necessary to design a power line carrier intelligent networking scheme with certain self-healing and anti-destruction capabil...
Examples
Embodiment Construction
[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0042] As documented in the related art, the simulated annealing-based algorithm has the problems of large computational complexity and low computational efficiency. The local search ability of genetic algorithm is weak, and it is difficult to obtain the optimal solution of on-demand routing. The traditional artificial bee colony algorithm is easy to fall into the problem of local optimality. The algorithm has a slow convergence speed...