基于局部拓扑控制的认知网络路由方法

刘舒祺; 汪一鸣; 崔翠梅

doi:10.11959/j.issn.1000-436x.2016098

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基于局部拓扑控制的认知网络路由方法

学术论文 | 更新时间：2024-06-05

- 基于局部拓扑控制的认知网络路由方法
- Routing approach based on local topology control in cognitive radio networks
- 通信学报 2016年37卷第5期页码：106-114
- 作者机构：
  
  1. 苏州大学电子信息学院，江苏苏州215021
  2. 江苏理工学院电气信息工程学院，江苏常州213000
- 作者简介：
  
  [ "刘舒祺（1979-），女，河南周口人，苏州大学博士生，江苏理工学院讲师，主要研究方向为协作通信、认知无线电、认知网络等。" ]
  [ "汪一鸣（1956-），女，江苏苏州人，博士，苏州大学教授、博士生导师，主要研究方向为通信信号处理、宽带无线通信、认知无线电等。" ]
  [ "崔翠梅（1978-），女，江苏徐州人，苏州大学博士生，主要研究方向为协作频谱感知、跨层设计、网络优化等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61172056);国家自然科学基金资助项目(61201215);国家自然科学基金资助项目(61201213)
- DOI：10.11959/j.issn.1000-436x.2016098
  中图分类号： TP393
- 网络出版日期：2016-05，
  
  纸质出版日期：2016-05-15
- 稿件说明：
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刘舒祺, 汪一鸣, 崔翠梅. 基于局部拓扑控制的认知网络路由方法[J]. 通信学报, 2016,37(5):106-114.

Shu-qi LIU, Yi-ming WANG, Cui-mei CUI. Routing approach based on local topology control in cognitive radio networks[J]. Journal on communications, 2016, 37(5): 106-114.
刘舒祺, 汪一鸣, 崔翠梅. 基于局部拓扑控制的认知网络路由方法[J]. 通信学报, 2016,37(5):106-114. DOI： 10.11959/j.issn.1000-436x.2016098.

Shu-qi LIU, Yi-ming WANG, Cui-mei CUI. Routing approach based on local topology control in cognitive radio networks[J]. Journal on communications, 2016, 37(5): 106-114. DOI： 10.11959/j.issn.1000-436x.2016098.

摘要

针对认知网络研究一种融合主、次用户多因素优化的局部拓扑控制和路由方法。该方法综合考虑主用户频谱使用情况以及次用户对主用户干扰影响，预测认知链路的稳定性，结合链路功耗，定义一种联合链路代价，提出链路代价最小的局部认知拓扑控制路由(LCTCR)算法，优化网络拓扑，并在优化后的拓扑上进行网络路由的选择。算法分析和仿真实验证明，在进行认知网络路径选择时，链路功耗和链路稳定性均为重要参数，需联合优化以保证选择更优的实际路由。

Abstract

An approach of topology control and routing was proposed according to the characteristics of cogni ive radio networks

which considered multi factors optimization with fusion of primary users and secondary users.And the ap-proach took the spectrum utilization of primary users the interference from secondary users to primary users into ac-count.Then a joint link cost was defined combining the predicted cognitive link stability with the link power consump-tion.Furthermore

the local cognitive topology control routing(LCTCR)algorithm with minimizing the link cost was presented

which was used to optimize the network topology.Meanwhile

the network path was selected according to the optimized network topology.Theoretical analysis and simulation experiments show that the link power consumption and the link stability are also important parameters and need to be jointly optimized when selecting the network path.Only by doing so can it guarantee that the selected path is optimal.

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references

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