数据采集与处理2018，Vol.33Issue(1)：41-50,10.DOI:10.16337/j.1004-9037.2018.01.005
基于频谱感知的认知Ad hoc网络分簇算法
Clustering Scheme Based on Spectrum Sensing in Cognitive Radio Ad hoc Networks
齐全 1王可人 1杜奕航1
作者信息
- 1. 国防科技大学电子对抗学院,合肥,230037
- 折叠
摘要
Abstract
To improve the spectrum sensing efficiency of cognitive radio Ad hoc networks and to solve the problem of cognitive radio Ad hoc networks clustering,a clustering scheme based on spectrum sensing for cognitive radio Ad hoc networks clustering is proposed.By introducing the detection factor,considering multiple primary user signals overlapping and shadow fading effect,the clustering problem of secondary users and primary user channels is mapped to bipartitie model.Then the clustering problem can be sim-plified to constraint maximum-weight edge biclique(C-MWEB)decomposition problem and solved by greedy algorithm.Simulation result shows that the proposed clustering scheme is more effective and reli-able than the traditional one in the case of multiple primary user signals overlapping and shadow fading effect.关键词
认知无线网络/频谱感知/分簇/二部图/检测因子Key words
cognitive radio network/spectrum sensing/clustering/bipartite graph/detection factor分类
信息技术与安全科学引用本文复制引用
齐全,王可人,杜奕航..基于频谱感知的认知Ad hoc网络分簇算法[J].数据采集与处理,2018,33(1):41-50,10.
