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NS2 SIMULATOR CAPABILITIES IN NODES LOCALIZATION IN WIRELESS 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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Wireless Sensor Networks have been proposed for a multitude of
location-dependent applications. For such systems, the cost and
limitations of the hardware on sensing nodes prevent the use of
range-based localization schemes that depend on absol
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Localization in wireless sensor networks is the process of determining the geographical positions of
sensors. Only some of the sensors (anchors) in the networks have prior knowledge about their geographical
positions. Localization algorithms use
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In this paper, we propose a robust and low-complexity
acoustic source localization technique based on time differences of
arrival (TDOA), which addresses the scenario of distributed sensor
networks in 3D environments. Network nodes are assumed
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