认知网络中基于簇结构的拓扑形成算法  

A Cluster-based Topology Discovery Algorithm in the Cognitive Radio Network

作　　者：何官卿[1] 张陆勇[1] 杨文泽[1] 杨飞[1] 

机构地区：[1]北京邮电大学无线网络实验室泛网无线通信教育部重点实验室,北京100876

出　　处：《无线电通信技术》2009年第2期5-8,共4页Radio Communications Technology

摘　　要：在多跳的认知无线网络中,网络的拓扑发现算法都必须极其灵活以适应于环境内频谱空洞的改变。研究了认知无线电网络的基本特点,结合Ad-hoc网络簇的概念,在得到认知设备的感知结果的基础上,提出了一种适合于认知无线电网络的有效的拓扑形成算法。在提出的算法中,将可用的频谱空洞信息和节点的能量信息综合考虑,是一个组合的优化算法。In the multi-hop cognitive radio networks, the topology discovery algorithm should be flexible to adapt the frequent changing of spectrum holes. In this paper, we study the characteristics of cognitive radio networks, and by combining the concept of cluster in Ad hoc network and the spectrum sensing results, propose a new effective topology discovery algorithm adapting to the cognitive radio networks. The proposed algorithm, in which the spectrum sensing results and the nodes＇ energy are considered, is a combined optimization algorithm.

关 键 词：认知网络 簇 频谱发现 拓扑形成 CogCluster 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]