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Routing Metrics of Cognitive Radio Networks: A Survey

机译:认知无线电网络的路由度量:一项调查

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The majority of work in cognitive radio networks have focused on single-hop networks with mainly challenges at the physical and MAC layers. Recently, multi-hop secondary networks have gained attention as a promising design to leverage the full potential of cognitive radio networks. One of the main features of routing protocols in multi-hop networks is the routing metric used to select the best route for forwarding packets. In this paper, we survey the state-of-the-art routing metrics for cognitive radio networks. We start by listing the challenges that have to be addressed in designing a good routing metric for cognitive radio networks. We then provide a taxonomy of the different metrics and a survey of the way they have been used in different routing protocols. Then we present a case study to compare different classes of metrics. After that, we discuss how to combine individual routing metrics to obtain a global one. We end the paper with a discussion of the open issues in the design of future metrics for cognitive radio networks.
机译:认知无线电网络中的大部分工作都集中在单跳网络上,主要在物理层和MAC层面临挑战。近来,多跳辅助网络作为一种有前途的设计而受到关注,以利用认知无线电网络的全部潜能。多跳网络中路由协议的主要特征之一是用于选择最佳路由以转发数据包的路由度量。在本文中,我们调查了认知无线电网络的最新路由指标。我们首先列出在为认知无线电网络设计良好的路由度量时必须解决的挑战。然后,我们提供了不同度量标准的分类法,并概述了它们在不同路由协议中的使用方式。然后,我们提出一个案例研究,以比较不同类别的指标。之后,我们讨论如何结合各个路由度量以获得全局度量。最后,本文讨论了认知无线电网络的未来指标设计中的未解决问题。

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