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A COOPERATIVE SPECTRUM SENSING SCHEME IN WIRELESS COGNITIVE SENSOR NETWORK

机译:无线认知传感器网络中的合作光谱感知方案

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Cognitive radio technology has experienced a fast development since its basic concept was raised by Joseph Mitola. And wireless cognitive sensor network is a new application field of Cognitive Radio based on the traditional wireless sensor network. The senor node is assigned the ability of spectrum sensing, data analysis and parameter adjusting and can function as a cognitive node. On the one side, the cognitive sensor node can sense the spectrum environment, detect the primary users and take use of the vacant spectrum. On the other side, the new functions of sensor node arouse some energy and security concerns. Malicious sensor node which reports false information about the spectrum may easily exhaust the nodes energy and break down the whole sensor network. To deal with the problems, some researches need to be done to improve the spectrum cognitive accuracy. In this paper, we investigate schemes to identify the malicious users for cooperative sensing system. Then a novel method is proposed to reduce the interference from false data and indentify the malicious nodes with the concept of bi-weight, outlier factor and penalty factor. The performance of the proposed scheme is studied using simulations.
机译:自从约瑟夫·米托拉(Joseph Mitola)提出认知无线电技术的基本概念以来,其发展很快。无线认知传感器网络是基于传统无线传感器网络的认知无线电的新应用领域。传感器节点被赋予频谱感测,数据分析和参数调整的能力,并且可以用作认知节点。一方面,认知传感器节点可以感知频谱环境,检测主要用户并利用空频谱。另一方面,传感器节点的新功能引起了一些能源和安全问题。报告有关频谱的虚假信息的恶意传感器节点可能会很容易耗尽节点能量,并破坏整个传感器网络。为了解决这些问题,需要进行一些研究以提高频谱认知的准确性。在本文中,我们研究了用于识别协作感知系统的恶意用户的方案。然后提出了一种新的方法,通过权重,离群因子和惩罚因子的概念来减少来自虚假数据的干扰并识别恶意节点。所提方案的性能通过仿真研究。

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