基于干扰机发射功率智能估计的干扰机定位

Waleed Aldosari, M. Zohdy, Richard Olawoyin
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引用次数: 2

摘要

无线传感器网络由于其共享特性和开放接入介质,容易受到干扰攻击。干扰机通过将其信号注入到合法的通信中来破坏无线信道,从而增加了接收器的噪声量。为了提高定位精度,本文提出了基于信噪比的距离比定位方法。距离信噪比(DSNR)算法的主要过程包括捕获干扰信号强度(JRSS)并计算边界节点与相邻节点之间的接收功率、计算DR、估计干扰机的发射功率和位置、最小化定位误差四个步骤。最后,进行了大量的仿真来评估该方法的性能、有效性和鲁棒性,并与类似的定位算法进行了比较。
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Jammer Localization Through Smart Estimation of Jammer’s Transmission Power
Wireless Sensors Network (WSNs) are susceptible to jamming attacks due to the shared nature and open access medium. Jammer disrupts the wireless channel by injecting its signal into the legitimate traffic which causes it to increase the amount of noise at the receiver. In order to improve the localization accuracy, this paper proposed Distance Ratio (DR) based on Signal to Noise Ratio (SNR). The primary process of the Distance to Signal Noise Ratio (DSNR) algorithm consists of four steps: capturing jamming Signal Strength (JRSS) and computing the received power between boundary node and its neighbor, compute DR, estimating jammer's transmission power and its location, and minimizing localization error. Finally, extensive simulations are conducted to evaluate the performance, effectiveness, and the robustness of the proposed method compared to similar localization algorithms.
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