A weighted threshold centroid localization algorithm based on WSNs

XIANG Ya-nan; PAN Feng

doi:10.13873/J.1000-9787(2014)09-0104-03

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A weighted threshold centroid localization algorithm based on WSNs

更新时间：2025-09-11

- A weighted threshold centroid localization algorithm based on WSNs
- Vol. 33, Issue 9, Pages: 104-106(2014)
- 作者机构：
  
  江南大学轻工过程先进控制教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2014)09-0104-03
  CLC： TN929.5;TP212.9
- Published：2014
- 稿件说明：
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[1]项亚南,潘丰.一种基于无线传感器网络的加权阈值质心定位算法[J].传感器与微系统,2014,33(09):104-106.

XIANG Ya-nan, PAN Feng. A weighted threshold centroid localization algorithm based on WSNs[J]. 2014, 33(9): 104-106.
[1]项亚南,潘丰.一种基于无线传感器网络的加权阈值质心定位算法[J].传感器与微系统,2014,33(09):104-106. DOI： 10.13873/J.1000-9787(2014)09-0104-03.

XIANG Ya-nan, PAN Feng. A weighted threshold centroid localization algorithm based on WSNs[J]. 2014, 33(9): 104-106. DOI： 10.13873/J.1000-9787(2014)09-0104-03.

摘要

接收信号强度指示（RSSI）是一种根据信号的损耗和距离的关系的测距定位方法

但是由于噪声、传播模型和障碍物的影响

信号的衰减关系是不一致的

距离越远精确度越低。提出一种距离倒数的加权阈值的算法

将距离较远不在阈值范围内的点舍去

对保留下的点加权精细定位。实验仿真结果验证了该算法有效性地提高了定位精度

降低了定位误差率。

Abstract

Received signal strength indication（ RSSI） is a kind of ranging-based localization approach based on relationship between signal loss and distance

but signal attenuation relation is inconsistent due to influence of noise

propagation model and obstacles

the farther the distance is

the lower the accuracy is. Put forward a kind of inverse distance weighted threshold algorithm

which reject the point that is far beyond the scope of threshold

the reserved point is weighted to achieve precision positioning. The experimental simulation results verify the effectiveness of the proposed algorithm to improve positioning precision

and reduce positioning error rate.

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references

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