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无线传感器网络中用于三维定位的参数化循环划分

Parametric Loop Division for 3D Localization in Wireless Sensor Networks.

作者信息

Ahmad Tanveer, Li Xue Jun, Seet Boon-Chong

机构信息

Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand.

出版信息

Sensors (Basel). 2017 Jul 24;17(7):1697. doi: 10.3390/s17071697.

Abstract

Localization in Wireless Sensor Networks (WSNs) has been an active topic for more than two decades. A variety of algorithms were proposed to improve the localization accuracy. However, they are either limited to two-dimensional (2D) space, or require specific sensor deployment for proper operations. In this paper, we proposed a three-dimensional (3D) localization scheme for WSNs based on the well-known parametric Loop division (PLD) algorithm. The proposed scheme localizes a sensor node in a region bounded by a network of anchor nodes. By iteratively shrinking that region towards its center point, the proposed scheme provides better localization accuracy as compared to existing schemes. Furthermore, it is cost-effective and independent of environmental irregularity. We provide an analytical framework for the proposed scheme and find its lower bound accuracy. Simulation results shows that the proposed algorithm provides an average localization accuracy of 0.89 m with a standard deviation of 1.2 m.

摘要

无线传感器网络(WSN)中的定位问题已经成为二十多年来的一个活跃研究课题。人们提出了各种算法来提高定位精度。然而,它们要么局限于二维(2D)空间,要么需要特定的传感器部署才能正常运行。在本文中,我们基于著名的参数化循环划分(PLD)算法,提出了一种用于WSN的三维(3D)定位方案。该方案在由锚节点网络界定的区域内对传感器节点进行定位。通过朝着中心点迭代收缩该区域,与现有方案相比,该方案提供了更高的定位精度。此外,它具有成本效益且不受环境不规则性的影响。我们为该方案提供了一个分析框架,并找到了其下限精度。仿真结果表明,所提出的算法平均定位精度为0.89米,标准差为1.2米。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1609/5539484/854884547a1d/sensors-17-01697-g001.jpg

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