A Weighted Centroid Localization Algorithm for Wireless Sensor Networks

Abdelali Hadir, K. Zine-dine, M. Bakhouya
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引用次数: 1

Abstract

Localization phase for sensor nodes is considered as the most important service for many applications of IoT. In the last decides, many localization algorithm have been presented to provide location of sensor nodes, but a limited number of these algorithms have been introduced to accurately estimate the location of sensor nodes in the Internet of Things (IoT). In this paper, we propose localization algorithms for sensor nodes in WSNs. The algorithms based on Centroid localization algorithm for Internet of Things. The Proposed algorithm is based on the new weighted formula to calculate the position of unknown nodes. Our presented algorithms guarantee that the nodes estimate their own position with a butter localization accuracy in comparison to the Centroid algorithm and DV-Hop in all considered scenarios. Moreover, the proposed simulation confirms that the introduced algorithms can significantly enhance the localization error and of algorithms in Wireless Sensor Networks.
一种无线传感器网络加权质心定位算法
传感器节点的定位阶段被认为是物联网许多应用中最重要的服务。在过去的几年中,已经提出了许多定位算法来提供传感器节点的位置,但在物联网(IoT)中,用于准确估计传感器节点位置的算法数量有限。本文提出了无线传感器网络中传感器节点的定位算法。基于质心定位的物联网算法。该算法基于新的加权公式来计算未知节点的位置。在所有考虑的场景中,与质心算法和DV-Hop相比,我们提出的算法保证节点以较好的定位精度估计自己的位置。仿真结果表明,所引入的算法能够显著提高无线传感器网络中算法的定位误差。
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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