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The influence of k-NN parameters on the localization accuracy of WSNs in indoor environment

机译:k-NN参数对室内无线传感器定位精度的影响

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摘要

Localization is one of the most complex issues in wireless sensor networks (WSN) domain, particularly, when the network is in indoor environments where the effect of multipath propagation is more pronounced. In this paper we have focused on several factors that effect on the localization accuracy, including the target environment itself, as well as the various parameters of the program proposed in this paper, which is basically based on fingerprinting method, which uses the k nearest neighbor's technique (k-NN) to estimate target positions. The parameters discussed is the number k of neighbors around the target, the choice of the method to calculate the distance between the target and the various neighboring (Euclidean or Manhattan distance), and W the weight function.
机译:本地化是无线传感器网络(WSN)域中最复杂的问题之一,尤其是当网络位于室内环境中时,多径传播的影响更为明显。在本文中,我们集中于影响定位精度的几个因素,包括目标环境本身以及本文提出的程序的各种参数,这些程序基本上是基于指纹方法,该方法使用k个最近邻技术(k-NN)估算目标位置。讨论的参数是目标周围的邻居数k,计算目标与各种邻居之间的距离(欧几里得距离或曼哈顿距离)的方法选择以及W权重函数。

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