A research on discrete probability estimate (DPE) localization algorithm in wireless sensor networks

Rencheng Jin, Hao Xu, Ning Wei, Lisha Meng, Liding Wang
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Abstract

This paper, from the law of normal distribution, we try some new methods of data acquisition and processing. Through depth analysis of probability distribution mechanism, this paper presents that we can use the rectangular area to replace the overlap regions. Through rasterization method, a kind of discrete probability estimate localization algorithm is established. In reducing the calculation of the node as far as possible, the new algorithm is easy to understanding and application, which overcome shortcomings of continuous probability distribution algorithm. Experiment results show that the algorithm we proposed in the paper has better location performance, compared with the typical location algorithm.
无线传感器网络中离散概率估计(DPE)定位算法研究
本文从正态分布规律出发,尝试了一些新的数据采集和处理方法。通过对概率分布机理的深入分析,提出了用矩形区域代替重叠区域的方法。通过栅格化方法,建立了一种离散概率估计定位算法。在尽量减少节点的计算量的同时,新算法易于理解和应用,克服了连续概率分布算法的不足。实验结果表明,与典型的定位算法相比,本文提出的算法具有更好的定位性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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