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。
There are mainly two types of localization algorithms: the range-based localization algorithms and range-free localization algorithms.
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。
We elaborate the theory of localization algorithms, and implement the algorithm combined with radio wave propagation model in underground complex environment.
给出了该算法进行定位的原理，并结合井下复杂环境中的电波传播模型来实现该算法。
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。
Today, most of the localization algorithms are tested by simulation, after quantifying the network environment, we use the simulated tools to analyze and design the algorithms.
目前对定位算法的评估多采用仿真模拟的形式，将一些网络环境量化后，再利用仿真工具进行分析与设计。
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。
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。
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