基于梯度的受限空间安全定位方法

发布时间：2018-02-27 12:35

本文关键词： 双曲线定位模型梯度受限空间安全定位　出处：《计算机科学》2014年01期 　论文类型：期刊论文

【摘要】：现有的无线传感器网络定位技术消耗了大量的计算和处理资源,并且受到了环境因素以及对手攻击等干扰,在受限空间中定位精度较低,无法满足定位需求。为了提高受限空间中的定位精度,提出了一种基于梯度的安全定位算法,算法在双曲线定位模型基础上,引入梯度的概念,降低了算法的计算复杂度,使算法能够适应受限空间的环境要求,实现高效高精度的定位;为了提高算法的安全性,增加了对不一致性测量的选择性剪枝过程,增强了算法对恶意攻击的抵抗能力。最后,以室内走廊为实验环境进行了仿真验证,通过主频计时策略,提高了算法的定位精度。分析结果表明,在室内受限空间中,提出的算法在定位精度、能量消耗和抗干扰能力上优于现有算法。
[Abstract]:The existing wireless sensor network localization technology consumes a large amount of computing and processing resources, and is affected by environmental factors and opponent attacks, so the location accuracy is low in restricted space. In order to improve the accuracy of location in restricted space, a secure location algorithm based on gradient is proposed. Based on hyperbolic localization model, the concept of gradient is introduced, which reduces the computational complexity of the algorithm. In order to improve the security of the algorithm, the selective pruning process of inconsistent measurement is increased, and the ability of the algorithm to resist malicious attacks is enhanced. The simulation results show that the localization accuracy of the algorithm is improved by the main frequency timing strategy. The analysis results show that the proposed algorithm is accurate in the indoor restricted space. The energy consumption and anti-interference ability are better than the existing algorithms.
【作者单位】：南京航空航天大学计算机科学与技术学院;
【基金】：2010年度国家教育部高等学校博士学科点专项科研基金资助项目(20103218110017) 江苏高校优势学科建设工程项目(PAPD)资助
【分类号】：TP212.9;TN915.08

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