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A fast neighbor discovery algorithm for cognitive radio ad hoc networks

机译:认知无线电自组织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:认知无线电(CR)是无线通信领域的一场革命,CR自组织网络(CRAHN)最近正在广泛研究中。在CRAHN中,无法使用控制网络基础结构,CR用户必须获得用于联网的第一手信息。邻居发现是CR用户之间合作的基础工作。本文介绍了CRAHN中的分布式邻居发现。提出了一种基于相邻节点之间可用信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快发现过程,而无需增加CR用户的硬件需求。通过分析和仿真证明了该算法的正确性和有效性。

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