Research on mixture Monte-Carlo box method for mobile sensor localization

ZHANG Jun-feng1; WANG Ni-hong1; ZHOU Tong2

doi:10.13873/j.1000-97872009.06.027

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Research on mixture Monte-Carlo box method for mobile sensor localization

更新时间：2025-09-11

- Research on mixture Monte-Carlo box method for mobile sensor localization
- Vol. 28, Issue 6, Pages: 63-65(2009)
- 作者机构：
  
  1. 东北林业大学
  2. 哈尔滨理工大学
  3. 黑龙江省计量科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.06.027
  CLC： TP212
- Published：2009
- 稿件说明：
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[1]仉俊峰,王霓虹,周彤.混合蒙特卡罗箱传感器定位方法的研究[J].传感器与微系统,2009,28(06):63-65.

ZHANG Jun-feng1, WANG Ni-hong1, ZHOU Tong2. Research on mixture Monte-Carlo box method for mobile sensor localization[J]. 2009, 28(6): 63-65.
[1]仉俊峰,王霓虹,周彤.混合蒙特卡罗箱传感器定位方法的研究[J].传感器与微系统,2009,28(06):63-65. DOI： 10.13873/j.1000-97872009.06.027.

ZHANG Jun-feng1, WANG Ni-hong1, ZHOU Tong2. Research on mixture Monte-Carlo box method for mobile sensor localization[J]. 2009, 28(6): 63-65. DOI： 10.13873/j.1000-97872009.06.027.

摘要

为了提高传感器节点自定位精度

满足不同网络规模应用的需要

对传统蒙特卡罗方法进行了改进

提出了一种新的自定位方法

解决了采样速度慢的应用限制。对于采样速度

采用混合采样箱方法提高采样成功率。仿真实验结果表明:此算法提高了定位精度

具有自适应性和实用性。

Abstract

An improved sensor nodes self-localization method is proposed for improving the estimation of nodes and satisfying the need of varied network size.The Monte-Carlo method is modified to solve slow sampling speed.The mixture Monte-Carlo box method is adopted to increase valid sampling rate.The simulation results show that the method can improve the accuracy of nodes localization.This method is self-adaptive and practical.

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references

无线传感器网络综述 [J]. 马祖长,孙怡宁,梅涛. 通信学报 . 2004(04)

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