计算机应用与软件2018，Vol.35Issue(4)：207-211,259,6.DOI:10.3969/j.issn.1000-386x.2018.04.039
改进型萤火虫算法求解CRN频谱分配问题
IMPROVED GLOWWORM SWARM OPTIMIZATION TO SOLVE CRN SPECTRUM ALLOCATION PROBLEM
徐婷婷 1孙文胜1
作者信息
- 1. 杭州电子科技大学通信工程学院 浙江杭州310018
- 折叠
摘要
Abstract
In the cognitive radio network,we looked for a more optimized spectrum allocation scheme.Based on the basic GSO,we proposed an improved GSO.The algorithm changed the fixed step size to adaptive variable step size,effectively improved the search accuracy and slowed the convergence speed.It combined the chaos optimization to increase the diversity and improve the global search.Based on spectrum allocation model simulation and four standard function tests,the improved GSO is superior to the basic GSO in terms of convergence rate,solution accuracy,stability of iterative process and overall network benefits.关键词
认知无线电/频谱分配/改进型/萤火虫算法/混沌搜索/网络总效益Key words
Cognitive radio/Spectrum allocation/Improved/Glowworm swarm optimization/Chaos search/Overall network benefits分类
信息技术与安全科学引用本文复制引用
徐婷婷,孙文胜..改进型萤火虫算法求解CRN频谱分配问题[J].计算机应用与软件,2018,35(4):207-211,259,6.
