Cooperative robust localization against malicious anchors based on semi-definite programming

Dexin Wang, Liuqing Yang
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引用次数: 7

Abstract

Location awareness for wireless sensor networks has attracted significant interests in recent years. In hostile environments, there may be malicious attacks to mislead the location estimation of target nodes. In this paper, we propose a novel secured localization method by applying cooperative semi-definite programming (SDP) algorithm. We also introduce residual normalization to improve the SDP approximation. Cooperation enhances the capability to identify the compromised anchors and the accuracy of location estimation. SDP improves the reliability of the algorithm and the out-of-convex-hull performance. Simulation results are provided to demonstrate the aforementioned improvements.
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基于半确定规划的对抗恶意锚的协同鲁棒定位
无线传感器网络的位置感知技术近年来引起了人们极大的兴趣。在敌对环境下,可能存在恶意攻击,误导目标节点的位置估计。本文提出了一种基于协作半确定规划(SDP)算法的安全定位方法。我们还引入残差归一化来改进SDP近似。合作提高了识别受损锚的能力和位置估计的准确性。SDP提高了算法的可靠性和非凸船体性能。仿真结果证明了上述改进。
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