文献类型：期刊文献

英文题名：A survey on the network models applied in the industrial network optimization

作者：Dong, Chao[1];Xiong, Xiaoxiong[1];Xue, Qiulin[1];Zhang, Zhengzhen[2];Niu, Kai[1];Zhang, Ping[1]

第一作者：Dong, Chao

通讯作者：Niu, K[1]

机构：[1]Beijing Univ Posts & Telecommun, Key Lab Universal Wireless Commun, Minist Educ, Beijing 100876, Peoples R China;[2]Beijing Union Univ, Smart City Coll, Beijing 100024, Peoples R China

第一机构：Beijing Univ Posts & Telecommun, Key Lab Universal Wireless Commun, Minist Educ, Beijing 100876, Peoples R China

通讯机构：[1]corresponding author), Beijing Univ Posts & Telecommun, Key Lab Universal Wireless Commun, Minist Educ, Beijing 100876, Peoples R China.

年份：2024

卷号：67

期号：2

外文期刊名：SCIENCE CHINA-INFORMATION SCIENCES

收录：;EI(收录号：20240615495872);Scopus(收录号：2-s2.0-85183786516);WOS:【SCI-EXPANDED(收录号:WOS:001155876100003)】；

基金：This work was supported by Key Program of National Natural Science Foundation of China (Grant No. 92067202), National Natural Science Foundation of China (Grant No. 62071058), and Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, China (Grant No. KFKT-2022104).

语种：英文

外文关键词：industrial network; small-scale network; large-scale network; graph theory; system entropy

摘要：Network architecture design is critical for optimizing industrial networks. Network architectures can be classified into small-scale networks and large-scale networks based on scale. Graph theory is an efficient mathematical tool for network topology modeling. For small-scale networks, their structure often has regular topology. For large-scale ones, the current body of work mainly focuses on random characteristics of network nodes and edges. Recently, widely used models include random networks, small-world networks, and scale-free networks. In this study, starting from the scale of the network, network modeling methods based on graph theory as well as their industrial applications, are summarized and analyzed. Moreover, a novel network performance metric, called system entropy, is proposed. From the perspective of mathematical properties, an analysis of its non-negativity and concavity is performed. The advantage of system entropy is that it can cover the existing regular networks, random networks, small-world networks, and scale-free networks, and has strong generality. The simulation results reveal that this proposed metric can achieve the comparison of various industrial networks under different models.