Research on Computer Network Routing Based on Granular Computational Intelligence

In today's era, with the continuous development of the network, people have higher and higher requirements for intelligent devices, and traditional computers have been unable to meet these needs. Therefore, a new technology that can solve these problems and has good adaptability and reliability is needed for information management and maintenance work, currently there are mainly server-side, convergence layer and access layer consisting of a three-layer structure system, the core part of which is the routing protocol and IP-bound network link design method, in order to achieve high efficiency and stability, the use of layered architecture design mode, the data is concentrated in different In order to achieve high efficiency and stability, a hierarchical architecture design pattern is used to centralize the data in different layers to process. This paper focuses on the research of computer network routing based on granularity computing intelligence, using server-side and aggregation layer to solve the traditional PC-side routing problem and apply it to various applications. As a result, this method provided Network load balancing 95(%), Network life cycle 92(%), and 0.52 $\times 10^{6}$ energy consumption.