A fuzzy weights targets location method in WSNs

CAI Shi-qing; ZHOU Jie

doi:10.13873/J.1000-9787(2016)02-0042-04

Chinese

您当前的位置：

首页 >

文章列表页 >

A fuzzy weights targets location method in WSNs

更新时间：2025-09-11

- A fuzzy weights targets location method in WSNs
- Vol. 35, Issue 2, Pages: 42-45(2016)
- 作者机构：
  
  南京信息工程大学电子与信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)02-0042-04
  CLC： TN929.5;TP212.9
- Published：2016
- 稿件说明：
移动端阅览
[1]蔡世清,周杰.无线传感器网络中一种模糊加权目标定位方法[J].传感器与微系统,2016,35(02):42-45.

CAI Shi-qing, ZHOU Jie. A fuzzy weights targets location method in WSNs[J]. 2016, 35(2): 42-45.
[1]蔡世清,周杰.无线传感器网络中一种模糊加权目标定位方法[J].传感器与微系统,2016,35(02):42-45. DOI： 10.13873/J.1000-9787(2016)02-0042-04.

CAI Shi-qing, ZHOU Jie. A fuzzy weights targets location method in WSNs[J]. 2016, 35(2): 42-45. DOI： 10.13873/J.1000-9787(2016)02-0042-04.

摘要

提出了一种无线传感器网络（WSNs）中的模糊加权定位算法

利用探测节点RSSI值的估计距离为平面离散栅格分配权值

通过比较累计权值搜索出目标坐标

其模糊性使得该方法能够有效地抵抗各种强度的噪声

设定可调模糊度适应不同的衰落信道

在单目标定位中具有非常高的稳定性。针对多目标定位

提出变型的权值模型

设计了去模糊化算法将多个目标坐标提取出来。对实验仿真结果作出了评估

并提出了多目标定位的限制条件。

Abstract

A fuzzy weights location algorithm in WSNs is proposed

target coordinate can be searched by comparing accumulated weights from RSSI of each detecting node. It’s an innovation method which can live a high-accuracy in low SNR because of its fuzziness and can adapt to different signal attenuating speed attribute to its flexible fuzzy degree. The proposed method performs a high stability in mono-target location application. There is also a deeper analysis in application to multi-target location

a transformed model is developed in allusion to multi-target location. Multiple targets coordinate is extracted successfully through defuzzification algorithm.Experimental result is evaluated

and restriction condition to multi-target location is proposed.

关键词

Keywords

references

利用最小二乘支持向量机实现无线传感器网络的目标定位 [J]. 张晓平,刘桂雄,周松斌. 光学精密工程 . 2010(09)

WSN中一种基于概率加权定位的目标跟踪算法 [J]. 徐昌庆,徐建良,楼财义. 军事通信技术 . 2009(04)

基于目标三线坐标校正的定位方法 [J]. 万群,刘申建,彭应宁. 电子学报 . 2002(06)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

PSO localization algorithm based on joint ranging modification of neighbor node

Localization algorithm for WSNs based on RSSI range modified

WSNs node localization based on random drift particle swarm optimization algorithm

WSNs localization algorithm based on RSSI correction

RSSI-based iteration secure localization algorithm for WSNs

Related Author

WANG Zhe

LI Ping

WANG Pei-qi

LI Yan-ping

CHEN Xiang-nan

LI Jing

ZHAO Ji

JI Zhi-cheng

Related Institution

School of Computer and Telecommunications,Changsha University of Science and Technology

School of Information Engineering,Taiyuan University of Technology

Institute of Electrical Automation,Jiangnan University

Department of Electronic Information Engineering,Wuxi City College of Vocational Technology

School of Computer Science and Technology,Anhui University

⁰