东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (1): 35-38.DOI: -

• 论著 • 上一篇    下一篇

基于WSNs的模糊三角形定位模型研究

朱剑;赵海;林凯;徐久强;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-01-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家发改委示范工程项目[(2001)2167];;

Research on the fuzzy triangular localization model in WSNs

Zhu, Jian (1); Zhao, Hai (1); Lin, Kai (1); Xu, Jiu-Qiang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-01-15 Published:2013-06-20
  • Contact: Zhu, J.
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

663

摘要： 针对现有range-based定位模型与range-free定位模型存在的问题——定位精度低、定位延迟大、复杂度高和节点密度大等特点,提出了一种基于模糊识别的非测距定位模型.该模型首先在定位空间内设置若干个样本点,然后将无线传感器网络的信号强度与模糊数学的思想相结合,通过计算未知点与各个样本点的贴近度来获取该点的位置信息,该方法简化了坐标求解.最后借助几何解析与NS-2仿真手段对该模型进行了验证,结果表明模糊三角形定位模型具有较高的性能.

关键词: 无线传感器网络, 模糊定位, 三角形定位, 定位误差, 延迟

Abstract: Aiming at the shortages of range-based and range-free localization models such as low location precision, high latency/complexity and high-density nodes, a range-free localization model based on fuzzy recognition was developed where several swatch nodes were provided in location space. Then, combining the intensity of signal received in WSN with the fuzzy mathematics to acquire an unknown node's coordinate via computing the proximity degree between the unknown node and swatch nodes, the model developed can simplify the procedure to get coordinate solution. Verified by virtue of the simulation software NS-2 and analytic geometry, the fuzzy triangular localization model is proved of high performance.

中图分类号: