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matlab仿真实现无线传感器网络定位算法-matlab simulation of wireless sensor network localization algorithm
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localization in wireless sensor networks it is a parabolistic approach using RF signal strength
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Distributed Multidimensional Scaling with Adaptive Weighting for Node Localization in Sensor
Networks
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A Survey on Secure Localization in Wireless Sensor Networks by Avinash Srinivasan and Jie Wu
Florida Atlantic University, Boca Raton, FL, USA-A Survey on Secure Localization in Wireless Sensor Networks by Avinash Srinivasan and Jie Wu
Florida Atl
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A Distributed AOA Based Localization Algorithm for Wireless Sensor Networks
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A Novel Iterative Multilateral Localization Algorithm for Wireless Sensor Networks
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Localization in Sensor Networks Jonathan Bachrach and Christopher Taylor
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A Novel Cooperative Localization Algorithm for Indoor Sensor Networks
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基于权值的MAXDEV无线传感器网络定位算法研究 MAXDEV 无线传感器 定位 算法-Weight MAXDEV based wireless sensor network localization algorithm in wireless sensor localization algorithm MAXDEV
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research paper wireless sensor network Localization algorithm for new and old Technic-research paper wireless sensor network Localization algorithm for new and old Technic
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此文档为IEEE TRANSACTIONS ON SIGNAL PROCESSING信号源被动定位与跟踪领域经典文章“Alleviating Sensor Position Error in Source Localization Using Calibration Emitters at Inaccurate Locations”的PDF版原文，相关程序另外上传，进行相同领域研究的童鞋可以参考学习！-This document is for the IEEE TRANSACTIONS ON S
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wireless sensor networks localization techniqes
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针对移动传感器网络定位的经典论文，详细描述了如何使用Range-free对移动目标进行定位。非常有参考价值。-Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks
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本文提出一种基于多维定标的无线传感器网络三维定位算法,结合RSS经验衰减模型和最短路径建立相异性矩阵,采用轻量级矩阵分解算法降低相异性矩阵分解的计算复杂性,并利用网络中存在的周期性消息将初始定位信息回送,在后台使用迭代优化算法对初始定位结果求精。仿真实验表明,在测距误差一定的情况下,该算法能够提高节点三维坐标的初始计算精度,经过集中式的优化求精后与MDS-MAP算法相比,能够明显地提高节点三维定位的精度-This paper presents a method based on multidim
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文章针对无线传感器网络(WSN)节点定位算法DV-Hop的节点间距离沽计误差对定位准确度影响较大的问题，提出一种基于LS-SVR(最小二乘支持向量回归机)的定位算法L-LSSVR.
-Aiming at solving the problem of the significant influence of distance estimation error onlocation accuracy of DV-Hop in Wireless Sensor Networks (WSN), a n
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Localization With Mobile Anchor Points in Wireless Sensor Networks
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Time Synchronization and Localization
in Sensor Networks
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定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算
法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了
一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距
离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参
考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误
差补偿的运
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研究移动无线传感网中的节点定位问题，分析影响蒙特卡罗定位精度的两个因素：观测值和前一时刻的位置样本集，提出一种迭代蒙特卡罗定位算-Research in mobile wireless sensor network node localization problems, analyze the impact of positioning accuracy of Monte Carlo two factors: the observed value and the location of the
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thesis about cooperative localization in wireless sensor network , very beneficial in this field
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