Sensor node localization is a fundamental technique in WSN. However, unsupervised sensor nodes are susceptible to the from malicious nodes and captured nodes due to its inherent openness.
无线传感器网络中很多应用都依赖于节点的坐标位置，所以节点定位技术是传感器网络领域中一项非常重要的基础技术。
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。
The accuracy of node localization is crucial for many applications of Distributed Sensor Network(DSN).
节点定位的精确性在分布式传感器网络的许多应用中都起着至关重要的作用。
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）。
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。
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。
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。
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。
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。
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。
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。
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。
How to use Sequential Monte Carlo method for range-free localization scheme when we estimate the unknown node position in Wireles Sensor Networks?
在估计无线传感器网络未知节点位置时，如何使用与距离无关的贯序蒙特卡罗算法?。
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。
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。
Absrtact: Node localization is one of the most critical technologies in wireless sensor networks.
摘要：定位技术是传感器网络中的关键技术之一。
In wireless sensor networks, the node-localization is vital and promising to a wide scope of applications.
无线传感器网络节点定位至关重要，有着广泛的应用前景。
In wireless sensor networks, the node-localization is vital and promising to a wide scope of applications.
无线传感器网络节点定位至关重要，有着广泛的应用前景。
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