基于归零神经动力学的水下无线传感器网络节点测距定位方法

杜秀娟; 王丽娟; 刘静萍; 金龙

doi:10.11959/j.issn.1000-436x.2022192

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基于归零神经动力学的水下无线传感器网络节点测距定位方法

学术论文 | 更新时间：2024-06-05

- 基于归零神经动力学的水下无线传感器网络节点测距定位方法
- Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics
- 通信学报 2022年43卷第10期页码：177-185
- 作者机构：
  
  1. 青海师范大学计算机学院，青海西宁 810008
  2. 青海省物联网重点实验室，青海西宁 810008
  3. 藏语智能信息处理及应用国家重点实验室，青海西宁 810008
  4. 高原科学与可持续发展研究院，青海西宁 810008
  5. 兰州大学信息科学与工程学院，甘肃兰州 730000
  6. 青海师范大学网络信息中心，青海西宁 810016
- 作者简介：
  
  [ "杜秀娟（1970− ），女，河北石家庄人，博士，青海师范大学教授、博士生导师，主要研究方向为无线网络与安全、物联网技术、神经网络等" ]
  [ "王丽娟（1992− ），女，河北石家庄人，青海师范大学博士生，主要研究方向为无线网络与安全、神经网络" ]
  [ "刘静萍（1982− ），女，青海西宁人，兰州大学博士生，主要研究方向为无线传感器网络、最优化理论、神经网络等" ]
  [ "金龙（1988− ），男，甘肃榆中人，博士，兰州大学教授、博士生导师，主要研究方向为机器人控制、神经网络等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61962052);青海省自然科学创新团队基金资助项目(2020-ZJ-903)
- DOI：10.11959/j.issn.1000-436x.2022192
  中图分类号： TP393
- 网络出版日期：2022-10，
  
  纸质出版日期：2022-10-25
- 稿件说明：
移动端阅览
杜秀娟, 王丽娟, 刘静萍, 等. 基于归零神经动力学的水下无线传感器网络节点测距定位方法[J]. 通信学报, 2022,43(10):177-185.

Xiujuan DU, Lijuan WANG, Jingping LIU, et al. Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics[J]. Journal on communications, 2022, 43(10): 177-185.
杜秀娟, 王丽娟, 刘静萍, 等. 基于归零神经动力学的水下无线传感器网络节点测距定位方法[J]. 通信学报, 2022,43(10):177-185. DOI： 10.11959/j.issn.1000-436x.2022192.

Xiujuan DU, Lijuan WANG, Jingping LIU, et al. Ranging localization method for nodes in underwater wireless sensor network based on zeroing neural dynamics[J]. Journal on communications, 2022, 43(10): 177-185. DOI： 10.11959/j.issn.1000-436x.2022192.

摘要

摘要：从时变角度对基于到达角度（AoA）和到达时间差（TDoA）测距算法的水下无线传感器网络（UWSN）节点定位问题进行建模，提出了一种归零神经动力学模型来求解该定位问题并对所提模型进行了收敛性分析。通过对节点定位进行计算机仿真，验证了所提模型在精度和移动定位稳健性方面的有效性。此外，利用青海湖实验床在湖试过程中收集的位置坐标对节点进行定位，验证了所提模型对实际应用场景具有潜在的适用性。

Abstract

In underwater wireless sensor network (UWSN)

the AoA/TDoA-based ranging localization problem for nodes was formulated from a time-variant perspective

and a zeroing neural dynamics model was proposed to solve it.Then

the convergence of the proposed model was theoretically analyzed.Furthermore

computer simulations on UWSN localization were carried out to demonstrate the effectiveness of the proposed models in terms of accuracy and robustness to the mobile localization.Additionally

through tests performed in Qinghai lake

the coordinates of nodes of UWSN test-bed were leverage to illustrate the potential applicability of the proposed model in the true underwater environment.

关键词

Keywords

references

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