Low-voltage PLC network routing method based on improved genetic ant colony algorithm

被引:0
|
作者
Cui Y. [1 ]
机构
[1] Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai
关键词
Improved genetic ant colony algorithm; Low-voltage power line communication; Network fusion; Routing method; Ubiquitous Electric Internet of Things;
D O I
10.16081/j.epae.202109005
中图分类号
学科分类号
摘要
In the networking of low-voltage PLC(Power Line Communication) network, multiple networks coexist for a short time when nodes are energized under the condition that the distance between nodes is relatively far or the channel environment is relatively harsh, which severely affects the communication reliability. Aiming at this problem, the multi-network rapid fusion method based on CSMA/CA+TDMA(Carrier Sense Multiple Access with Collision Avoid+Time Division Multiple Access) hybrid protocol is explored. The proposed method can intelligently identify multiple networks in the area, select the network with the smallest MAC(Media Access Control) address as the multi-network fusion direction, dissolve the network with relatively big MAC address. It can solve the problem of multi-network uncertain fusion. On this basis, to solve the existing problems that the genetic algorithm has poor local search ability under the constraint of QoS(Quality of Service) parameters and is difficult to obtain the optimal solution of on-demand routing, a hot standby routing method based on improved genetic ant colony algorithm is proposed in asymmetric channel environment. Since the source nodes and destination nodes are not involved in crossover and mutation, the generation of invalid chromosomes can be effectively avoided. The optimal retention mechanism is used to find an approximate optimal solution, and then the approximate optimal solution is converted into the initial pheromone of ant colony algorithm to find the global optimal solution. The simulative results show that the proposed method is more effective than the traditional methods. © 2022, Electric Power Automation Equipment Press. All right reserved.
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页码:210 / 217
页数:7
相关论文
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