| 摘要: |
| 提出了一种基于节点之间竞争关系以及感知代价的分布式频谱感知算法.该算法基于分布式最小团划分理论,将节点划分至不同的团中,然后再根据团的结构来计算最优频谱感知分配.该算法的时间复杂度仅为O(N2+M×N),其中,N 为网络中节点数,M 为信道数目.大量的仿真实验结果表明,该算法能够有效地提高网络性能. |
| 关键词: 无线认知网络 频谱 感知 接入 团划分 硬件限制 |
| DOI：10.3724/SP.J.1001.2011.03721 |
| 分类号: |
| 基金项目:国家自然科学基金(60773017, 60903223,60903224) |
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| Spectrum Sensing Algorithm Based on Clique Partition for Wireless Cognitive Networks |
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HU Gang, XU Ming, LIU Li-Xia, LI Hong-Jian, PENG Yu-Xing
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School of Computer, National University of Defense Technology, Changsha 410073, China
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| Abstract: |
| A distributed sensing algorithm is proposed which considers the nodes’ contention relation and the sensing cost. The algorithm is based on the distributed minimum clique partition, which can classify nodes into several cliques. Then, the optimal spectrum sensing scheme for each node is calculated on the foundation of cliques. The computation complexity is O(N2+M×N), N is the node number of the network, and M is the number of channels. By a detailed simulation, the results demonstrate that the network performance is improved efficiently with the use of the algorithm. |
| Key words: wireless cognitive network spectrum sense access clique partition hardware constraint |
