Design of a Distributed Sharing System for New Media Network Resource Based on Improved Grey Wolf Algorithm
In the shared resource acquisition layer,AD2S1210WDSTZ is used as the core to design a data acquisition device,and SPI interface programming is used to achieve shared resource transmission signal interaction.In the shared resource processing layer,a multi machine cluster desensitization processing device is designed to achieve unified and distributed processing of re-sources.At the shared resource service layer,API shared interfaces are designed to ensure stable shared interfaces.Nonlinear convergence factors are introduced in the high-dimensional space of new media network resources to improve global search capa-bilities.Based on the optimization results of the nonlinear convergence factors,the Sigmoid function is used to convert the data types between the solution space and the binary space,ensuring that the conversion results match and achieving distributed gray wolf position mapping.By combining binary encoding,the length of nodes is calculated and processed to process the transmis-sion efficiency of multiple shared channels,update the gray wolf search location,and achieve distributed sharing of multi-chan-nel resources.From the experimental results,it can be seen that the system is consistent with the ideal spectrum display results in two scenarios,and the maximum resource throughput is 450 bit,which has a good distributed resource sharing effect.
improved grey wolf algorithmnew media network resourcedistributed sharingbinary encoding
万方数据
维普
