Research on Clustering-Cobweb Hybrid Algorithm of Low-voltage Power Line Based on Cluster Head Selection

被引:0
|
作者
Xu, Binghan [1 ]
Sun, Yunlian [1 ]
Wang, Huayou [1 ]
Zhang, Xiaodi [1 ]
Ye, Liangpeng [1 ]
Yi, Shimin [2 ]
Xie, Xinlin [3 ]
Fu, Bin [3 ]
机构
[1] Wuhan Univ, Sch Elect Engn & Automat, Wuhan, Peoples R China
[2] Guangdong Power Grid Co Ltd, Guangzhou, Peoples R China
[3] Guangdong Power Grid Co Ltd, Qingyuan Power Supply Bur, Qingyuan, Peoples R China
关键词
PLC; network optimization; clustering algorithm; artificial cobweb;
D O I
10.1109/iciea.2019.8833663
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Due to the complexity of communication channel and nodes' communication range limit, the gateway nodes in power line communication network cannot directly communicate with all the child nodes. It is necessary to adopt the networking technology. Firstly, the gateway node establishes communication link to some child nodes, then these sub-nodes act as relays and continue to network, gradually expanding the communication range until all nodes join the network. In order to improve the reliability of power line communication, this paper proposes an improved clustering-cobweb algorithm based on the study of clustering-cobweb algorithm and the topology characteristics of low-voltage power line network. The improved algorithm adds an optimization step that each new node chooses the best cluster head node when joining the network. It can be proved through simulation that comparing with the original algorithm, the improved algorithm optimizes the network's structure and improves the reliability of the power line communication by reducing the average communication distance.
引用
收藏
页码:381 / 386
页数:6
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