首页    期刊浏览 2025年06月11日 星期三
登录注册

文章基本信息

  • 标题:Improved trilateration for indoor localization: Neural network and centroid-based approach
  • 本地全文:下载
  • 作者:Satish R Jondhale ; Amruta S Jondhale ; Pallavi S Deshpande
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2021
  • 卷号:17
  • 期号:11
  • 页码:1-14
  • DOI:10.1177/15501477211053997
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Location awareness is the key to success to many location-based services applications such as indoor navigation, elderly tracking, emergency management, and so on. Trilateration-based localization using received signal strength measurements is widely used in wireless sensor network–based localization and tracking systems due to its simplicity and low computational cost. However, localization accuracy obtained with the trilateration technique is generally very poor because of fluctuating nature of received signal strength measurements. The reason behind such notorious behavior of received signal strength is dynamicity in target motion and surrounding environment. In addition, the significant localization error is induced during each iteration step during trilateration, which gets propagated in the next iterations. To address this problem, this article presents an improved trilateration-based architecture named Trilateration Centroid Generalized Regression Neural Network. The proposed Trilateration Centroid Generalized Regression Neural Network–based localization algorithm inherits the simplicity and efficiency of three concepts namely trilateration, centroid, and Generalized Regression Neural Network. The extensive simulation results indicate that the proposed Trilateration Centroid Generalized Regression Neural Network algorithm demonstrates superior localization performance as compared to trilateration, and Generalized Regression Neural Network algorithm.
  • 关键词:Trilateration;centroid;Generalized Regression Neural Network;wireless sensor network;received signal strength;target localization
国家哲学社会科学文献中心版权所有