面向工业物联网拓扑优化研究的传感网络拓扑关系数据集

面向工业物联网拓扑优化研究的传感网络拓扑关系数据集主要面向网络拓扑优化算法的验证，基于操作系统为Ubuntu20.04，处理器为AMD Ryzen 5 4600H，内存为16GB的服务器上通过运行拓扑生成程序，对节点数量、节点位置范围等数据特征进行设定，并随机生成拓扑连接关系，自动导出拓扑文件。数据集中包含1000个不同的节点拓扑文件，每个拓扑文件中包含100个节点的位置及节点间的连接关系，数据量为5.78MB。A sensing network topology relationship dataset for industrial Internet of Things (IIoT) topology optimization research, primarily designed for validating network topology optimization algorithms. It was generated by running a topology generation program on a server equipped with Ubuntu 20.04 operating system, AMD Ryzen 5 4600H processor, and 16 GB of RAM. During generation, parameters such as the number of nodes and the range of node positions were configured in advance, followed by randomly generating the connection relationships between nodes and automatically exporting the resulting topology files. The dataset includes 1000 distinct topology files, each containing the positional data of 100 nodes and the connection relationships between these nodes, with a total data size of 5.78 MB.

搜集汇总

背景与挑战

背景概述

该数据集面向工业物联网拓扑优化研究，旨在验证网络拓扑优化算法，通过程序随机生成节点连接关系，包含1000个拓扑文件，每个文件涵盖100个节点的位置和连接信息，总数据量为5.78MB。