Kim Kwang-Yul, Shin Yoan
School of Electronic Engineering, Soongsil University, Seoul 06978, Korea.
Sensors (Basel). 2018 Apr 1;18(4):1054. doi: 10.3390/s18041054.
In wireless sensor networks, accurate location information is important for precise tracking of targets. In order to satisfy hardware installation cost and localization accuracy requirements, a weighted centroid localization (WCL) algorithm, which is considered a promising localization algorithm, was introduced. In our previous research, we proposed a test node-based WCL algorithm using a distance boundary to improve the localization accuracy in the corner and side areas. The proposed algorithm estimates the target location by averaging the test node locations that exactly match with the number of anchor nodes in the distribution map. However, since the received signal strength has large variability in real channel conditions, the number of anchor nodes is not exactly matched and the localization accuracy may deteriorate. Thus, we propose an intersection threshold to compensate for the localization accuracy in this paper. The simulation results show that the proposed test node-based WCL algorithm provides higher-precision location information than the conventional WCL algorithm in entire areas, with a reduced number of physical anchor nodes. Moreover, we show that the localization accuracy is improved by using the intersection threshold when considering small-scale fading channel conditions.
在无线传感器网络中，准确的位置信息对于精确跟踪目标至关重要。为了满足硬件安装成本和定位精度要求，引入了一种加权质心定位（WCL）算法，该算法被认为是一种很有前景的定位算法。在我们之前的研究中，我们提出了一种基于测试节点的WCL算法，它使用距离边界来提高角落和边缘区域的定位精度。该算法通过对分布地图中与锚节点数量精确匹配的测试节点位置进行平均来估计目标位置。然而，由于在实际信道条件下接收信号强度具有很大的变化性，锚节点的数量无法精确匹配，定位精度可能会下降。因此，我们在本文中提出了一个交叉阈值来补偿定位精度。仿真结果表明，所提出的基于测试节点的WCL算法在整个区域内提供了比传统WCL算法更高精度的位置信息，同时减少了物理锚节点的数量。此外，我们表明，在考虑小规模衰落信道条件时，使用交叉阈值可以提高定位精度。
