The fundamental problems of sensor networks are deployment and coverage, localization, and networking protocols.
布局和覆盖、节点定位、网络通信协议是传感器网络研究中的几个基本问题。
It establishes a planar wave acoustic passive localization model, and designs the general structure of the position system using simple passive acoustic sensor arrays.
建立了一种平面波声被动定位模型，利用简易被动声传感器阵列，分析并设计了定位系统的总体结构。
This paper proposes a fine-grained radio-map localization based information security boundary in sensor network.
提出一种利用传感器网络精细电子地图定位建立信息安全边界的方法。
A novel sensor localization method based on optimized path of a mobile beacon.
提出了一种新的基于移动灯塔最优路径的传感器定位方法。
A passive acoustic sensor network time-delay probabilistic localization algorithm is present in this paper.
提出了一种被动声传感器网时延概率定位的综合处理算法。
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。
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。
Localization is the precondition of many applications of sensor networks, such as target identification surveillance and tracking. Therefore, it is important to make research on it.
节点定位问题是传感器网络进行目标识别、监控、跟踪等众多应用的前提，对其研究具有非常重要的意义。
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。
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。
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。
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 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。
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。
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。
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。
Mobile robot localization is the problem of determining a robot's pose relative to its environment from sensor data.
移动机器人定位问题就是通过传感器数据来确定自己的位姿。
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。
Because of restricted resources, localization algorithms in wireless sensor network need to consider location accuracy, price of network and costs of communication and computing in general.
传感器网络由于资源受限，定位算法需要综合考虑定位精度，网络构建成本，通信、计算开销等多方面因素。
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。
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