基于道路网络的LED路灯聚类组网算法的研究

Research on Street Lamp Clustering Networking Algorithms Based on Road Network

LED路灯控制系统通常使用ZigBee通讯网络作为节点间的通讯方式,在其系统组网的过程中,底层Mesh网络分簇主要依靠人工进行,效率较低。论文提出了基于道路网络的路灯聚类组网算法SLCNARN(Street Lamp Clustering Networking Algorithms Based on Road Network)。通过对路灯数据进行聚类分析,增加了聚类算法对基于环境的网络距离定义、路灯集中控制器容量以及对路灯基于道路分布特点的考虑,实验结果表明,该聚类方法能够有效计算出路灯集中控制器的摆放位置,提高照明控制效果,降低组网难度。

The ZigBee communication network is usually used as the communication mode between nodes in the LED street lamp control system.In the process of networking,the clustering of the underlying Mesh network mainly depends on manual work,and the efficiency is low.This paper presents a street lamp clustering algorithm SLCNARN(Street Lamp Clustering Network Working Algorithms Based on Road Network)based on road network.Through clustering analysis of street lamp data,the definition of network distance based on environment,the capacity of street lamp centralized controller and the characteristics of street lamp based on road distribution are considered by clustering algorithm.The experimental results show that this clustering method can effectively calculate the placement position of street lamp centralized controller,improve the lighting control effect and reduce the difficulty of networking.