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Nodes Localization in 3D Wireless Sensor Networks Based on Multidimensional Scaling Algorithm

机译:基于多维缩放算法的3D无线传感器网络中的节点定位

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摘要

In the recent years, there has been a huge advancement in wireless sensor computing technology. Today, wireless sensor network (WSN) has become a key technology for different types of smart environment. Nodes localization in WSN has arisen as a very challenging problem in the research community. Most of the applications for WSN are not useful without a priory known nodes positions. Adding GPS receivers to each node is an expensive solution and inapplicable for indoor environments. In this paper, we implemented and evaluated an algorithm based on multidimensional scaling (MDS) technique for three-dimensional (3D) nodes localization in WSN using improved heuristic method for distance calculation. Using extensive simulations we investigated our approach regarding various network parameters. We compared the results from the simulations with other approaches for 3D-WSN localization and showed that our approach outperforms other techniques in terms of accuracy.
机译:近年来,无线传感器计算技术取得了巨大的进步。如今,无线传感器网络(WSN)已成为针对不同类型的智能环境的关键技术。 WSN中的节点本地化已成为研究界中一个非常具有挑战性的问题。没有先验的已知节点位置,WSN的大多数应用程序将无用。将GPS接收器添加到每个节点是一种昂贵的解决方案,并且不适用于室内环境。在本文中,我们使用改进的启发式方法进行距离计算,实现并评估了基于多维缩放(MDS)技术的WSN中三维(3D)节点定位算法。通过广泛的仿真,我们研究了有关各种网络参数的方法。我们将模拟结果与其他3D-WSN定位方法进行了比较,结果表明,在准确性方面,我们的方法优于其他技术。

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