Localization of nodes is an important application of wireless sensor networks.
节点定位是无线传感器网络中的重要应用之一。
Applying the classical graph drawing algorithms to node localization in wireless sensor networks is a novel idea.
将经典的画图算法应用到无线传感器网络节点定位问题是一个全新的思路。
After summarize the characteristic and suitable environment of T1P1 wireless channel model, a kind of systematic emulation model of localization is put forward based on T1P1 channel model.
本文总结了T1P1无线信道模型的特点及其适用环境，提出了一种基于T1P1信道模型的定位系统仿真模型。
Discuss the Sequential Monte Carlo localization method for wireless sensor networks scheme and modify the basic algorithm to overcome the sample degeneracy problem in resampling stage.
讨论了贯序蒙特卡罗方法在无线传感器网络节点定位算法中的实现，并针对再采样阶段的样本缺失现象，对基本算法进行了改进。
Secondly, this thesis analyzes the current main wireless sensor network's basic principles of localization algorithm, and its performance evaluation standards and classification method.
其次，论文分析了当今主流的无线传感器网络定位算法的基本原理及其性能评价标准和分类方法。
At present, there are many technical difficulties in the research of Wireless Sensor Network, the node localization, which associates closely with many practical application, obtains more attention.
目前，无线传感器网络仍然存在一些技术上的难点，节点定位技术与很多实际应用有着密切的联系，因而受到关注。
Therefore, network localization research is very important in wireless sensor networks.
因此，进行无线传感器网络定位研究是非常重要的。
This dissertation proposes an application of the above localization algorithm: location aware energy efficient heard node selection algorithm in wireless sensor networks.
提出了上述定位算法的一个应用：基于定位信息的能量高效无线传感器网络首节点选择的算法。
This paper presents a sound localization system which constructs of multiple detecting nodes, and based on wireless sensor networks.
本文提出了一种由多个探测节点组成，基于无线传感器网络的声源定位系统。
In this paper, node localization algorithms in wireless sensor networks are researched, the traditional APIT algorithm is improved, and some meaningful results are obtained.
本文研究无线传感器网络中的节点定位算法，对传统APIT算法进行了改进，得到一些有意义的结果。
The node localization technology in wireless sensor networks was studied, and a flexible trilateration localization(FTL) based on RSSI was presented.
研究了无线传感器节点定位问题，在三边测量法定位基础上提出了一种基于RSSI的灵活的节点定位机制（FTL）。
And node localization technology is one of the main supporting technologies in a wireless sensor network. The correct positioning of the node itself is the premise of providing monitoring information.
而节点定位技术是无线传感器网络的主要支撑技术之一，节点自身的正确定位是提供监测信息的前提。
Node location is one of the key technology in most applications of Wireless Sensor Networks (WSNs), the localization accuracy to some extent depends on the accuracy of distance estimation.
在许多无线传感器网络的应用中，节点定位是其关键技术之一，而定位精度的高低在很大程度上取决于距离测量的精度。
Localization has become one of the indispensable supporting techniques in wireless sensor networks, and has widely drawn attention of domestic and foreign scholars.
所以定位技术已经成为无线传感器网络必不可少的关键技术之一，受到了国内外学者的广泛关注。
So this thesis deeply researched on node localization in wireless sensor networks (WSN) for underground complex environment.
在这个背景下，本文就井下复杂环境中无线传感器网络的节点定位进行了深入研究。
The actual geographical environment affects the performance a lot when executing a localization algorithm in wireless sensor networks.
实际地理环境会影响无线传感器网络定位算法的运行性能。
Abstract: Beacon nodes are playing an important role in wireless sensor network localization, which are used as the reference nodes to calculate the target position.
摘要：信标节点在无线传感器网络定位技术中起着重要的作用，它作为参考节点决定着被定位目标的位置。
In wireless sensor networks, localization technology is one of most important supporting techniques.
在无线传感器网络中，节点定位技术是关键支撑技术之一。
To verify the performance of localization algorithm and network communication, this dissertation designs and implements a prototype of wireless sensor network localization system.
为了测试定位算法性能及网络通信能力，该论文设计并实现了一种无线传感器网络定位系统原型。
Multidimentional scaling map algorithm is employed to achieve node localization in wireless sensor networks, and quantitative analysis depends on different simulation parameters is provided.
使用多维标度定位算法对无线传感器网络中的节点进行定位，并且根据不同的仿真参数给出定量的分析结果。
Node localization is the basis of many applications of wireless sensor networks and positioning accuracy is one of its key performance indicators.
节点定位是无线传感器网络众多应用的基础，定位精度是其关键性能指标之一。
The taxonomy and summarize for wireless sensor networks localization algorithms, the comprehensive analysis and evaluation of their performance are also described in the thesis.
并对无线传感器网络中现有的节点定位算法进行分类总结以及对其性能进行综合分析。
A key obstacle to high accuracy location is the Non Line of Sight (NLOS) transmission of signal in wireless sensor network node localization. NLOS error is the main source of location error.
在无线传感器网络定位中，节点精确定位面临的一个主要问题是信号的非视距传播，非视距误差是节点定位误差的主要来源。
Distance measurement causes large error in RSSI-based localization technique in wireless sensor networks.
无线传感器网络中，基于RSSI测距技术的定位系统误差较大。
To address this problem, a new distributed grid scanning localization algorithm is proposed for Wireless Sensor Network(WSN).
针对该问题，提出一种基于网格扫描的分布式无线传感器网络（WSN）节点定位算法。
In wireless sensor networks, the node self-localization is vital and promising to a wide scope of both military and civilian applications.
无线传感器网络中，节点的自身定位至关重要，在军事和民用领域中有着广泛的应用前景。
In recent years, wireless sensor networks have become research focus and node localization in wireless sensor network is the main supporting technologies.
无线传感器网络近年来已经成为国内外研究的一个热点，其中，节点定位技术是无线传感器网络的主要支撑技术之一。
Localization is one of the basic services for data collection in wireless sensor networks. The localization accuracy to some extent depends on the accuracy of distance estimation.
定位技术是无线传感器网络数据采集的基础服务，而定位精度的高低在很大程度上取决于距离测量的精度。
Many localization algorithms for wireless sensor networks have been proposed to provide per-node location information.
目前，针对不同的问题和应用，人们已经提出了很多无线传感器网络节点自身定位算法。
Considering wireless sensors deployed in the non-planar application scenarios, a localization algorithm is presented based on compensation coefficient.
考虑到无线传感器通常部署在非平面应用场景，提出了一种基于补偿系数节点定位算法。
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