Improvements of Centroid Localization Algorithm for Wireless Sensor Networks

Abdelali Hadir, K. Zine-dine, M. Bakhouya
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Abstract

The accurate position of nodes in Wireless Sensor Networks (WSNs) is considered a critical problem in the majority of the Internet of Things (IoT) applications. Recently a large number of contribution in localization have been recommended to determine the location of nodes. However, a number determinated of these techniques have been presented to precisely determine the nodes locations in the IoT. In this work, we discuss the new three localization techniques, named Centroid + 4A, ICentroid, and ICentroid + 4A respectively, based on the Centroid localization technique and a new weighted formula to estimate the target nodes’ positions. The OMNeT++ network simulator was used to figure out and the performance of the discussed solutions in comparison with the Centroid localization technique. The examined results reveal that a significant improvement in the localization precision of the discussed contributions in Wireless Sensor Networks.
无线传感器网络质心定位算法的改进
在大多数物联网(IoT)应用中,无线传感器网络(WSNs)中节点的准确位置被认为是一个关键问题。最近在定位方面有大量的贡献被推荐来确定节点的位置。然而,已经提出了许多确定的这些技术来精确确定物联网中的节点位置。本文在质心定位技术的基础上,讨论了新的三种定位技术,分别为质心+ 4A、ICentroid和ICentroid + 4A,并提出了新的加权公式来估计目标节点的位置。利用omnet++网络模拟器对所讨论的解决方案进行了计算,并与质心定位技术进行了性能比较。测试结果表明,所讨论的贡献在无线传感器网络中的定位精度显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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