首页> 外文会议>IEEE International Conference on Mobile Ad-Hoc and Sensor Systems >A three-dimensional localization algorithm for wireless sensor networks using artificial neural networks
【24h】

A three-dimensional localization algorithm for wireless sensor networks using artificial neural networks

机译:一种使用人工神经网络的无线传感器网络的三维定位算法

获取原文

摘要

Wireless Sensor Networks (WSNs) are being deployed in a variety of location-aware applications, where the measurement of data is meaningless without accurate location. Many localization algorithms have been proposed in the literature. However, localization in threedimensional (3D) space has not been studied sufficiently. Also, artificial neural networks are not commonly used in localization. In this paper, we present a 3D localization algorithm for wireless sensor networks using artificial neural networks. In the proposed scheme, the idea of the 2D localization using neural network is extended to achieve a 3D localization with simplicity, location accuracy, mobility, and low cost. The simulation results depict the performance and the effectiveness of the proposed approach.
机译:无线传感器网络(WSNS)正在部署在各种位置感知应用程序中,其中数据的测量无需准确的位置。在文献中提出了许多本地化算法。然而,尚未充分研究三维(3D)空间中的本地化。此外,人工神经网络不常用于本地化。本文使用人工神经网络为无线传感器网络提供了一种3D定位算法。在所提出的方案中,使用神经网络的2D本地化的思想延伸到实现具有简单性,位置精度,移动性和低成本的3D定位。仿真结果描述了所提出的方法的性能和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号