考虑恶意节点的CRN合作频谱感知方法

齐小刚; 郑圣瑜; 刘立芳; 王慧芳

doi:10.11959/j.issn.1000-436x.2015119

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考虑恶意节点的CRN合作频谱感知方法

学术论文 | 更新时间：2024-06-05

- 考虑恶意节点的CRN合作频谱感知方法
- Cooperative sensing method considering malicious nodes in cognitive radio networks
- 通信学报 2015年36卷第6期页码：22-30
- 作者机构：
  
  1. 西安电子科技大学数学与统计学院，陕西西安 710071
  2. 西安电子科技大学计算机学院，陕西西安 710071
- 作者简介：
  
  [ "齐小刚（1973-），男，陕西宝鸡人，博士，西安电子科技大学教授，主要研究方向为网络算法分析与设计、复杂系统建模与优化。" ]
  [ "郑圣瑜（1990-），男，江西鹰潭人，西安电子科技大学硕士生，主要研究方向为认知无线电网络的频谱感知技术。" ]
  [ "刘立芳（1972-），女，甘肃兰州人，博士，西安电子科技大学副教授、硕士生导师，主要研究方向为算法理论及应用、网络安全与性能优化、网络信息系统。" ]
  [ "王慧芳（1989-），女，山西吕梁人，西安电子科技大学硕士生，主要研究方向为无线传感网络的抗毁性。" ]
- 基金信息：
  
  国家自然科学基金资助项目(71271165);国家自然科学基金资助项目(61373174);陕西省自然科学重点基金资助项目(2015JZ002);陕西省自然科学重点基金资助项目(2015JM6311);中央高校基本科研业务费基金资助项目(JB140712)
- DOI：10.11959/j.issn.1000-436x.2015119
  中图分类号： TN98
- 网络首发：2015-06，
  
  纸质出版：2015-06-25
- 稿件说明：
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齐小刚, 郑圣瑜, 刘立芳, 等. 考虑恶意节点的CRN合作频谱感知方法[J]. 通信学报, 2015,36(6):22-30.

Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, et al. Cooperative sensing method considering malicious nodes in cognitive radio networks[J]. Journal on Communications, 2015, 36(6): 22-30.
齐小刚, 郑圣瑜, 刘立芳, 等. 考虑恶意节点的CRN合作频谱感知方法[J]. 通信学报, 2015,36(6):22-30. DOI： 10.11959/j.issn.1000-436x.2015119.

Xiao-gang QI, Sheng-yu ZHENG, Li-fang LIU, et al. Cooperative sensing method considering malicious nodes in cognitive radio networks[J]. Journal on Communications, 2015, 36(6): 22-30. DOI： 10.11959/j.issn.1000-436x.2015119.

摘要

基于带有恶意节点的更为实际的频谱感知环境，研究了基于合作感知的频谱共享网络模型，次级用户将会根据合作感知结果动态地调整其发射功率。为了防止恶意节点对感知系统的感知性能造成严重影响，研究了如何进行合作感知以提高感知性能。在一定的检测概率和相关功率约束下，建立了一个以最大化次级网络的吞吐量为目标函数的优化问题。仿真实验首先突出说明了恶意节点数目对频谱感知影响重大，同时还表明无论是否存在恶意节点，提出的算法均可有效地计算出最优的感知时间和发射功率，且在降低最大干扰功率限制和最大发射功率限制时，网络的吞吐量是增大的。

Abstract

Based on a more practical cognitive radio network with malicious users

the spectrum sharing network model based on the cooperative spectrum sensing was studied that the secondary user can dynamically adjust its transmit power based on cooperative sensing results.To avoid significant reduction in performance of spectrum sensing system caused by malicious nodes

it is aimed to study how to improve the performance of cooperative sensing.By introducing the convex optimization problem

the secondary network throughput is maximized under the certain detection probability conditions and the corresponding power constraints.Simulation results show that whether or not there are malicious nodes

the algorithm is efficient in calculating optimal sensing time and the optimal transmit powers

and the secondary network throughput is increased when the maximum interference power limits and the maximum transmit power restrictions are decreased.

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references

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