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Minimum Spanning Tree in Cognitive Radio Networks: A Distributed Approach to Maintain for Node Failures

机译:认知无线电网络中的最小生成树:一种维护节点故障的分布式方法

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Now a day's, cognitive radio networks (CRNs) is an emerging area of research in wireless communication paradigm. In CRN, the secondary user (SU) node exploits radio environment of primary user (PU) for spectrum holes and thus maximizes spectrum utilization. The communication and computation may be interfered by arbitrarily appearance of PU for its channel. However, it can be handled by increasing the size of available vacate channel set. The backup set for channels would help to avoid premature failure. Therefore, the present work proposes a SU-NODES REPLACEMENT (SUNR) distributed algorithm for maintaining minimum spanning tree (MST) after single node failure in CRN. Our MST tree maintenance algorithm successfully tackles unpredictable disconnection and makes the protocol fault-tolerant. The correctness proof and simulation is included for algorithm verification.
机译:现在,一天的认知无线电网络(CRNS)是无线通信范式的新兴研究领域。在CRN中,辅助用户(SU)节点利用主用户(PU)的无线电环境,用于频谱孔,从而最大限度地利用频谱利用率。通过对其信道的任意外观,可以干扰通信和计算。但是,它可以通过增加可用腾频频道集的大小来处理。频道的备份集将有助于避免过早失败。因此,本工作提出了一种用于在CRN中单节点故障后维护最小生成树(MST)的SU节点替换(SUNR)分布式算法。我们的MST树维护算法成功地解决了不可预测的断开,并使协议容错。算法验证包括正确性证明和仿真。

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