改进了使用节点重定位和聚类的DV-hop定位

A. Kulaib, R. Shubair, M. Al-Qutayri, J. Ng
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引用次数: 18

摘要

传感器节点定位是无线传感器网络中的一个重要方面。本文提出了一种改进的DV-hop定位算法,在不增加计算复杂度的前提下提高了DV-hop算法的精度。第一种算法采用K-means技术,然后进行节点重定位。第二种算法也是基于K-means技术,然后进行聚类划分和DoA定位。后一种算法用于由于某些应用程序的限制而无法实现节点重新定位的情况。通过仿真对所提出的定位算法进行了全面的评估,结果表明该算法在精度上有了显著的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved DV-hop localization using node repositioning and clustering
Localization of sensor nodes is an important aspect in Wireless Sensor Networks (WSNs). This paper presents an improved DV-hop localization algorithm which increases the accuracy of DV-hop algorithm without significant increase in the computational complexity. The first proposed algorithm utilizes K-means technique followed by node repositioning. The second proposed algorithm is also based on K-means technique followed by cluster division and Direction of Arrival (DoA) localization. The latter algorithm is used when node repositioning cannot be achieved due to restriction in certain applications. The proposed localization algorithm have been thoroughly evaluated through simulations and the results demonstrate a significant improvement in accuracy.
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