混合式认知无线电网络路由算法研究

Research of Hybrid Cognitive Radio Networks Routing Algorithm

由于认知无线电网络频谱的动态性和差异性,使得传统路由算法不能完全适用。通过分析、总结动态频谱与路由跨层设计研究现状,针对混合式认知无线电网络,以着色图模型为分析模型,为避免交叉节点出现影响网络通信性能,将跳数和链路状态的加权和作为路由选择依据,以最小累积干扰为信道分配指标,提出了一种信道分配和路由选择改进算法(ICARS)。仿真结果表明,ICARS算法能获得更好的网络通信质量,为混合式认知无线电网络路由设计提供了一种有效方法。

Due to dynamic and diversity of spectrum for cognitive radio networks, traditional routing algorithms can＇t be completely suitable for it. In this paper, research status on cross-layer design of dynamic spectrum allocation and routing are analyzed and summarized. In order to avoid the effect for network performance from crossing node, weighted hop count and link state work as the route standard, minimum cumulative interference is utilized as the channel assignment standard. Graph coloring model is taken as route analysis model, an improved algorithm of channel assignment and path selection （ICARS） are proposed for hybrid cognitive radio networks in this paper. Simulation results show that the ICARS algorithm can obtain better network communication quality. It can provide an effective method for routing design of hybrid cognitive radio networks.