Performance Comparison of Routing Protocols for Cognitive Radio Networks

Performance Comparison of Routing Protocols for Cognitive Radio Networks
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DOI:
10.1109/tmc.2014.2346782
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发表时间:
2015-06
影响因子:
7.9
通讯作者:
Li Sun;Wei Zheng;Naveen Rawat;Vikramsinh Sawant;Dimitrios Koutsonikolas
Li Sun;Wei Zheng;Naveen Rawat;Vikramsinh Sawant;Dimitrios Koutsonikolas
中科院分区:
计算机科学2区
文献类型:
--
作者:
Li Sun;Wei Zheng;Naveen Rawat;Vikramsinh Sawant;Dimitrios Koutsonikolas

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认知无线电网络(crn)已成为解决日益增长的额外频谱资源和更有效的频谱利用需求的一种有前途的解决方案。最近已经提出了大量的crn路由协议,每个协议都基于不同的设计目标,并在不同的场景和假设下进行了评估。然而,我们对所有这些协议的相对性能知之甚少,更不用说它们不同设计目标之间的权衡了。在本文中,我们在相同的现实假设集下,对crn的三种代表性路由协议进行了首次详细的经验性能比较。我们广泛的仿真研究表明,除了PU活动外,crn中路由协议的性能还受到许多因素的影响,其中一些因素在很大程度上被大多数先前的工作所忽略。我们发现不同的协议在不同的场景下表现良好,并研究了观察到的性能的原因。此外,我们提出了一个通用的软件架构,用于在USRP2平台的测试平台上对CRN路由协议进行实验评估,并在6节点测试平台上比较了两种协议的性能。实验结果证实了仿真研究的结果。
Cognitive radio networks (CRNs) have emerged as a promising solution to the ever-growing demand for additional spectrum resources and more efficient spectrum utilization. A large number of routing protocols for CRNs have been proposed recently, each based on different design goals, and evaluated in different scenarios, under different assumptions. However, little is known about the relative performance of all these protocols, let alone the tradeoffs among their different design goals. In this paper, we conduct the first detailed, empirical performance comparison of three representative routing protocols for CRNs, under the same realistic set of assumptions. Our extensive simulation study shows that the performance of routing protocols in CRNs is affected by a number of factors, in addition to PU activity, some of which have been largely ignored by the majority of previous works. We find that different protocols perform well under different scenarios, and investigate the causes of the observed performance. Furthermore, we present a generic software architecture for the experimental evaluation of CRN routing protocols on a testbed based on the USRP2 platform, and compare the performance of two protocols on a 6 node testbed. The testbed results confirm the findings of our simulation study.