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A fast neighbor discovery algorithm for cognitive radio ad hoc networks

机译:一种用于认知无线电临时网络的快速邻居发现算法

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Cognitive radio (CR) is a revolution in wireless communication and CR ad hoc network(CRAHN) is under extensive research recently. In CRAHN, no control network infrastructure can be utilized and CR users have to attain the first hand information for networking. Neighbor discovery is a fundamental work for cooperation among CR users. This paper addresses the distributed neighbor discovery in CRAHNs. A fast neighbor discovery algorithm based on the available channel comparability among neighboring nodes is proposed. The algorithm makes use of data transceiver to accelerate the discovery process without increasing hardware requirement for CR users. The correctness and efficiency of the algorithm is proved through analysis as well as simulation.
机译:认知式无线电(CR)是无线通信的革命,最近有无线通信的革命,CR ad Hoc网络(Crahn)是在广泛的研究中。在CRAHN中,可以使用控制网络基础设施,并且CR用户必须获得用于网络的第一手信息。邻居发现是CR用户合作的基本工作。本文在Crahns中解决了分布式邻居发现。提出了一种基于相邻节点中可用通道可比性的快速邻居发现算法。该算法利用数据收发器来加速发现过程,而不增加CR用户的硬件要求。通过分析和仿真证明了算法的正确性和效率。

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