基于超球面交叉机制，提出了VB-ERL节点定位算法。
VB-ERL localization algorithm is proposed based on the hyper-sphere intersection mechanism.
节点定位算法大致可分为两类：基于测距的算法和无需测距的算法。
There are mainly two types of localization algorithms: the range-based localization algorithms and range-free localization algorithms.
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。
The taxonomy and summarize for wireless sensor networks localization algorithms, the comprehensive analysis and evaluation of their performance are also described in the thesis.
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。
Considering wireless sensors deployed in the non-planar application scenarios, a localization algorithm is presented based on compensation coefficient.
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。
To address this problem, a new distributed grid scanning localization algorithm is proposed for Wireless Sensor Network(WSN).
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。
In this paper, node localization algorithms in wireless sensor networks are researched, the traditional APIT algorithm is improved, and some meaningful results are obtained.
首先深入分析了两种典型的分布式的节点定位算法，并从定位精度及能量消耗两个方面给出了定量分析结果。
Two typical distributed node location algorithms were analyzed in this paper firstly, and it gave the analysis result of location precision and energy consumption.
该文设计了一种基于地理位置服务的复合式路由，一方面是基于距离相关和距离非相关的复合式节点定位算法；
This paper introduces a design based on the location of the composite routing service, one hand is based on the distance from the relevant and non-associated, multi-node localization algorithm;
针对无线传感器网络节点定位问题进行了研究，提出了一种新的节点定位算法，介绍了算法的基本原理和实现方法。
The paper researches positioning algorithms of wireless sensors network and proposes a new positioning algorithm. The basic principle and the implementing approaches of the algorithm are introduced.
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。
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.
仿真实验结果表明，本文提出的两种移动节点定位算法同现有的MCL、MCB算法相比，在同等的信标节点密度、普通节点密度及节点速度情况下，具有较好的定位精度。
Simulation experiment result indicated that, under the condition of same bacon density, node density and node speed, RAMCL and MCAB have a better positioning precision than MCL, MCB.
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。
Applying the classical graph drawing algorithms to node localization in wireless sensor networks is a novel idea.
在此基础上，使用泰勒级数展开算法和二次WLS估计求解非线性定位方程组，以获得更高的节点定位精度。
On the basis of this, both the Taylor series expansion algorithm and two-times WLS estimation are applied to optimize the location estimation.
为提高无线传感器网络(wsn)的节点定位的估计精度，提出基于自由搜索优化的智能估计定位算法。
This paper proposes a novel intelligent estimation algorithm in Wireless Sensor Network (WSN) nodes location based on Free Search (FS) to improve the precision in location estimation.
为了有效抑制各种因素对无线传感器节点定位精度的影响，以三边定位算法为基础，提出了一种基于误差校正的定位算法。
In order to suppress effectively the effects of manifold factors to WSN node localization precision, a localization algorithm based on error correction is provided.
本文提出的MCAB算法则适用于开阔空间的移动节点定位。
MCAB proposed in this paper can be applied in the open space to localize mobile nodes.
本文提出的MCAB算法则适用于开阔空间的移动节点定位。
MCAB proposed in this paper can be applied in the open space to localize mobile nodes.
应用推荐