[1]岳文静,孙 鹏,陈 志.基于改进海鸥算法的认知无人机网络频谱分配[J].计算机技术与发展,2021,31(09):7-12.[doi:10. 3969 / j. issn. 1673-629X. 2021. 09. 002]
　YUE Wen-jing,SUN Peng,CHEN Zhi.Spectrum Allocation of Cognitive UAV Network Based on Improved Seagull Algorithm[J].,2021,31(09):7-12.[doi:10. 3969 / j. issn. 1673-629X. 2021. 09. 002]
点击复制

基于改进海鸥算法的认知无人机网络频谱分配()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年09期
页码:
7-12
栏目:
人工智能
出版日期:
2021-09-10

文章信息/Info

Title:
Spectrum Allocation of Cognitive UAV Network Based on Improved Seagull Algorithm
文章编号:
1673-629X(2021)09-0007-06
作者:
岳文静1 ; 孙 鹏1 ; 陈 志2
1. 南京邮电大学 通信与信息工程学院,江苏 南京 210023;
2. 南京邮电大学 计算机学院,江苏 南京 210023
Author(s):
YUE Wen-jing1 ; SUN Peng1 ; CHEN Zhi2
1. School of Communication & Information Engineering,Nanjing University of Posts & Telecommunications, Nanjing 210023,China;
2. School of Computer,Nanjing University of Posts & Telecommunications,Nanjing 210023,China
关键词:
认知无线电; 无人机; 频谱分配; 海鸥算法; 优化算法
Keywords:
cognitive radio; UAV; spectrum allocation; seagull algorithm; optimization algorithm
分类号:
TP301. 6
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 09. 002
摘要:
针对无人机网络资源短缺的问题, 提出一种基于改进海鸥优化算法(improved seagull optimization algorithm, ISOA)的认知无人机网络频谱分配方案。 对海鸥优化算法的解进行克隆操作,实现个体空间的扩张, 增强对解空间的搜索力度。 对克隆的个体进行变异操作,并将变异个体与原个体比较,保留较优的个体,以提高在当前最优个体附近的局部搜索能力。 采用人工免疫算子计算选择概率,使适应度大且浓度低的个体被选择的概率高, 浓度高的个体被选择的概率低,使用轮盘赌进行选择从而保证了种群更新过程中个体的多样性, 一定程度上避免了未成熟收敛。将提出的算法与海鸥优化算法(seagull optimization algorithm,SOA) 、遗传算法(genetic algorithm,GA) 、量子遗传算法( quantum genetic algorithm,QGA) 、粒子群优化算法( particle swarm optimization,PSO) 进行比较。 结果表明, 提出的算法在认知无人机网络频谱分配具有较好的性能。
Abstract:
In order to solve the problem of shortage of UAV network resources,a cognitive UAV network spectrum allocation scheme based on improved seagull optimization algorithm is proposed. The solution of the seagull optimization algorithm is cloned to expand the individual space and enhance the search of the solution space. The mutation operation is carried out on the cloned individual,and the mutation individual is compared with? the original individual to retain the better individual,so as to improve the local search ability near the current optimal individual. The artificial immune operator is used to calculate the selection probability, so that the probability of selection of individuals with high fitness and low concentration is high, and the probability of selection of individuals with high concentration is low. Roulette selection ensures the diversity of individuals? ?in the process of population renewal and avoids immature convergence to a certain extent. Compared with seagull optimization algorithm,genetic algorithm,quantum genetic algorithm and particle swarm optimization algorithm,it is showed that the proposed algorithm has better performance in cognitive UAV network spectrum allocation.

相似文献/References:

[1]林琳 周贤伟 薛楠 刘臻臻.认知无线电网络安全路由问题研究[J].计算机技术与发展,2010,(01):155.
　LIN Lin,ZHOU Xian-wei,XUE Nan,et al.Study on Problems of Security Routing in Cognitive Radio Networks[J].,2010,(09):155.
[2]孙丽艳.基于激励机制的认知无线电自私行为研究[J].计算机技术与发展,2009,(10):170.
　SUN Li-yan.Study of Cognitive Radio＇ Selfish Behavior Based on Two- Stage Incentives Mechanism[J].,2009,(09):170.
[3]郭云玮 刘全 高俊.不同衰落信道下的协作感知性能研究[J].计算机技术与发展,2011,(05):13.
　GUO Yun-wei,LIU Quan,GAO Jun.Performance of Cooperative Spectrum Sensing over Different Fading Channels[J].,2011,(09):13.
[4]任长城 马雏.智能家居中基于认知无线电的通信协议设计[J].计算机技术与发展,2011,(08):14.
　REN Chang-cheng,MA Chu.A Design of Cognitive Radio Communication Protocol in Smart Home[J].,2011,(09):14.
[5]汪晓睿 刘全.认知无线电网络中频谱感知安全的研究进展[J].计算机技术与发展,2011,(12):155.
　WANG Xiao-rui,LIU Quan.A Survey on Spectrum Sensing Security Issues in Cognitive Radio Networks[J].,2011,(09):155.
[6]宗平 刘柳 乔秀泉[].认知无线电技术在ZigBee中的应用研究[J].计算机技术与发展,2012,(08):241.
　ZONG Ping,LIU Liu,QIAO Xiu-quan.Application Research of Cognitive Radio Technology in ZigBee[J].,2012,(09):241.
[7]王韦刚 胡海峰.基于压缩感知的协作频谱检测[J].计算机技术与发展,2012,(12):241.
　WANG Wei-gang,HU Hai-feng.Collaborative Spectrum Detection Based on Compressed Sensing[J].,2012,(09):241.
[8]刘洋,季薇,侯晓赟.一种改进的基于 OMP 重建的宽带频谱感知算法[J].计算机技术与发展,2013,(01):99.
　LIU Yang,JI Wei,HOU Xiao-yun.A Modified Spectrum Sensing Algorithm for Wideband Cognitive Radio Based on OMP[J].,2013,(09):99.
[9]赵之旭,田峰.一种改进的认知无线电功率控制博弈算法[J].计算机技术与发展,2013,(02):101.
　ZHAO Zhi-xu,TIAN Feng.An Improved Power Control Game Algorithm in Cognitive Radios[J].,2013,(09):101.
[10]孔小丽,周井泉.基于用户需求的改进型频谱资源分配算法[J].计算机技术与发展,2013,(03):73.
　KONG Xiao-li,ZHOU Jing-quan.Advanced Spectrum Resource Allocation Algorithm Based on User Requirement[J].,2013,(09):73.

更新日期/Last Update: 2021-09-10