摘要
在共享资源采集层以AD2S1210WDSTZ为核心,设计数据采集装置,并用SPI接口编程实现共享资源传输信号交互。在共享资源处理层,设计多机集群的脱敏处理装置,实现对资源的统一分布式处理。在共享资源服务层,设计API共享接口,保证共享接口稳定。在新媒体网络资源高维空间中,引入非线性收敛因子,改善全局搜索能力。根据非线性收敛因子优化结果,使用Sigmoid函数实现解空间与二元空间数据类型的转换,保证转换结果匹配,实现分布式灰狼位置映射。结合二进制编码,计算待需要处理节点长度和多共享信道传输效益,更新灰狼搜索位置,实现多信道资源分布式共享。由实验结果可知,该系统在2个场景下与理想频谱展示结果一致,且资源最大吞吐量为450 bit,具有良好资源分布式共享效果。
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 resources.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 capabilities.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 transmission efficiency of multiple shared channels,update the gray wolf search location,and achieve distributed sharing of multi-channel 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.
作者
张景明
包迅格
詹佳雯
尚天婷
朱铭达
甘文杰
ZHANG Jingming;BAO Xunge;ZHAN Jiawen;SHANG Tianting;ZHU Mingda;GAN Wenjie(Information and Communication Branch of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310007,China)
出处
《微型电脑应用》
2024年第3期188-192,共5页
Microcomputer Applications
关键词
改进灰狼算法
新媒体网络资源
分布式共享
二进制编码
improved grey wolf algorithm
new media network resource
distributed sharing
binary encoding
