1 research outputs found
A Survey on the Network Models applied in the Industrial Network Optimization
Network architecture design is very important for the optimization of
industrial networks. The type of network architecture can be divided into
small-scale network and large-scale network according to its scale. Graph
theory is an efficient mathematical tool for network topology modeling. For
small-scale networks, its structure often has regular topology. For large-scale
networks, the existing research mainly focuses on the random characteristics of
network nodes and edges. Recently, popular models include random networks,
small-world networks and scale-free networks. Starting from the scale of
network, this survey summarizes and analyzes the network modeling methods based
on graph theory and the practical application in industrial scenarios.
Furthermore, this survey proposes a novel network performance metric - system
entropy. From the perspective of mathematical properties, the analysis of its
non-negativity, monotonicity and concave-convexity is given. The advantage of
system entropy is that it can cover the existing regular network, random
network, small-world network and scale-free network, and has strong generality.
The simulation results show that this metric can realize the comparison of
various industrial networks under different models.Comment: 26 pages, 11 figures, Journa