![]() ![]() From the perspective of mathematical properties, the analysis of its non-negativity, monotonicity and concave-convexity is given. Furthermore, this survey proposes a novel network performance metric - system entropy. 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. Recently, popular models include random networks, small-world networks and scale-free networks. For large-scale networks, the existing research mainly focuses on the random characteristics of network nodes and edges. For small-scale networks, its structure often has regular topology. ![]() Graph theory is an efficient mathematical tool for network topology modeling. The type of network architecture can be divided into small-scale network and large-scale network according to its scale. Network architecture design is very important for the optimization of industrial networks. In this paper, we implement the proposed TANMP and analysis performance of the proposed ring topology based redundancy Ethernet system for industrial network TANMP supports the simple hop count based routing function with high performance and manages network topology with minimum recovery time. And also guarantees transmission to its destination in spite of a link-fault. The topology of the proposed redundancy Ethernet system can be flexibly changed from the ring topology to the line (daisy-chained) topology or opposite case. And also proposes the new topology adaptation network management protocol (TANMP). This paper proposes the redundancy Ethernet system based on ring topology without switch or hub. However the star topology of Ethernet is not flexible and not reliable for industrial network because of dependency on switch or hub. Industrial customers are no longer satisfied with R5232 or R5485 data transmission rather they are demanding the benefits of Ethernet connectivity. Recently Ethernet system is getting very high attention for industrial network. ![]()
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March 2023
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