基于改进麻雀搜索优化认知车载网络频谱分配  

SPECTRUM ALLOCATION OF COGNITIVE VEHICULAR NETWORK BASED ON IMPROVED SPARROW SEARCH ALGORITHM

作　　者：张宇 杨关[2] Zhang Yu;Yang Guan(Software Institute,Henan Finance University,Zhengzhou 450000,Henan,China;School of Computer Science,Zhongyuan University of Technology,Zhengzhou 450000,Henan,China)

机构地区：[1]河南财政金融学院软件学院,河南郑州450000 [2]中原工学院计算机学院,河南郑州450000

出　　处：《计算机应用与软件》2025年第3期110-118,175,共10页Computer Applications and Software

基　　金：河南省科技厅科技攻关项目(182102210126)。

摘　　要：5G时代的到来使得车载无线网络能够更智能、更快速地实现人、车、物间的通信互联,从而增强车辆行驶安全预警、快速媒体接入,提升行车体验。针对传统认知车载网络频谱分配效率低、速度慢的不足,提出基于改进麻雀搜索算法的频谱分配算法。结合折射反向学习机制进行种群初始化,提高种群多样性,以正余弦优化、惯性权重以及柯西混沌变异机制提升标准麻雀搜索算法的寻优精度和速度;将频谱分配变量映射为麻雀个体的位置信息,并以网络吞吐量和接入公平性作为评估麻雀位置优劣的适应度函数,利用改进麻雀搜索算法对频谱分配方案迭代寻优。数值仿真结果表明,改进算法不仅能够更快地得到频谱分配方案,而且车载用户收益更高,还可以保障分配公平性。The arrival of the 5G era makes the vehicular wireless network more intelligent and faster to realize the communication and interconnection between people,vehicles and things,so as to enhance the safety warning of vehicle driving,fast media access,and improve the driving experience.Aiming at the shortcoming of low spectrum allocation efficiency and slow speed in traditional cognitive vehicular networks,we propose a spectrum allocation algorithm based on improved sparrow search algorithm.The refracted opposition-learning was used to construct the initial population for promoting the population diversity.The sine and cosine optimization,the inertia weight and Cauchy chaotic mutation mechanism were used to improve the optimization precision and speed of standard sparrow search algorithm.The spectrum allocation variables were mapped as the location of sparrow individuals.The network throughput and the access fairness were regarded as the fitness function for evaluating the quality of sparrow location.The improved sparrow search algorithm was used to iteratively search the solution of the spectrum allocation.Numerical simulation results show that the improved algorithm can not only get faster spectrum allocation scheme,and higher-yielding car users,can also guarantee allocation fairness.

关 键 词：麻雀搜索算法 正余弦优化 柯西变异 认知车载网络 频谱分配 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]