Application of WSNs-based positioning strategy for landslide monitoring

HU Chun-an; ZHANG Qi-hui

doi:10.13873/J.1000-9787(2015)05-0154-03

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Application of WSNs-based positioning strategy for landslide monitoring

更新时间：2025-09-11

- Application of WSNs-based positioning strategy for landslide monitoring
- Vol. 34, Issue 5, Pages: 154-156+160(2015)
- 作者机构：
  
  江西理工大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)05-0154-03
  CLC： TN929.5;P642.22;TP212.9
- Published：2015
- 稿件说明：
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[1]胡春安,张起辉.基于WSNs的定位策略在滑坡监测中的应用[J].传感器与微系统,2015,34(05):154-156+160.

HU Chun-an, ZHANG Qi-hui. Application of WSNs-based positioning strategy for landslide monitoring[J]. 2015, 34(5): 154-156+160.
[1]胡春安,张起辉.基于WSNs的定位策略在滑坡监测中的应用[J].传感器与微系统,2015,34(05):154-156+160. DOI： 10.13873/J.1000-9787(2015)05-0154-03.

HU Chun-an, ZHANG Qi-hui. Application of WSNs-based positioning strategy for landslide monitoring[J]. 2015, 34(5): 154-156+160. DOI： 10.13873/J.1000-9787(2015)05-0154-03.

摘要

将无线传感器网络（WSNs）应用在滑坡监测上

通过对传感器节点位置的监测关注坡体运动从而预测滑坡的发生。针对传统定位算法对坡体节点定位精度低的问题

提出一种改进的基于RSSI的加权质心定位算法（IWCLA）

该算法考虑坡体节点所处的外部环境

引入锚节点误差系数

实时调整RSSI测距

同时引入锚节点环境因子的概念

将环境因子和修正距离的商作为算法权值

增强权值选取的合理性

降低外部环境的影响力。仿真结果表明:该算法明显地提高了坡体传感器节点的定位精度。

Abstract

Wireless sensor networks（ WSNs） is applied to landslide monitoring

observe slope movement by monitoring location of sensor nodes and predict occurrence of landslides. Aiming at problem of low precision of traditional localization algorithm for slope node localization

an improved RSSI-based weighted centroid localization algorithm is put forward

which considers external environment that the slope nodes belong to

error coefficient of anchor node is introduced to adjust RSSI ranging in real-time

and at the same time

conception of environmental factors of anchor node is introduced

quotient between environmental factors and corrected distance is used as weight to make the chosen of weight more reasonable

as a result

influence of external environment is reduced. Simulation results show that the algorithm improves positioning precision of the slope sensor nodes obviously.

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references

基于跳距修正粒子群优化的WSN定位算法 [J]. 赵雁航,钱志鸿,尚小航,程超. 通信学报 . 2013(09)

基于RSSI的无线传感器网络改进定位算法 [J]. 冯冬青,赵志远. 广西大学学报(自然科学版) . 2012(06)

A Novel Adaptive Cooperative Location Algorithm for Wireless Sensor Networks [J]. Wen-Jiang Feng Xiao-Wei Bi Rong Jiang College of Communication Engineering,Chongqing University,Chongqing 400044,China. International Journal of Automation & Computing . 2012(05)

基于锚球交域重心的WSN三维定位算法研究 [J]. 夏心江,胡钢,王烨华. 计算机工程与应用 . 2013(10)

RSSI定位算法在滑坡监测系统的应用研究 [D]. 李文田. 重庆大学 2012

无线传感器网络[M]. 清华大学出版社 , 孙利民等编著, 2005

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