Mesh-Clustering-Based Radio Maps Construction for Autonomous Distributed Networks
Mesh-Clustering-Based Radio Maps Construction for Autonomous Distributed Networks
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DOI：
10.1109/icufn49451.2021.9528740
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发表时间：
2021-08
期刊：
影响因子：
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通讯作者：
Keita Katagiri;T. Fujii
中科院分区：
文献类型：
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作者：
Keita Katagiri;T. Fujii
在我们的传统工作中，我们提出了一种使用聚类算法构建无线电地图的方法。该方法使我们能够准确地预测无线电环境，同时减少注册的数据大小。然而，这种分簇算法仅适用于具有固定发射机位置的无线系统。因此，本文考虑无线电地图建设的基础上聚类的自治分布式网络，发送器和接收器动态移动。该方法使用k-means++对相似的平均接收信号功率样本进行分类。仿真结果表明，所提出的方法可以估计无线电环境的高精度，同时减少注册数据的大小相比，传统的无线电地图。
We have proposed a method of the radio map construction using clustering algorithm in our conventional work. The method enables us to accurately predict the radio environment while reducing the registered data size. However, this clustering algorithm has been only applied to the wireless system with fixed transmitter location. Thus, this paper considers the radio maps construction based on the clustering for the autonomous distributed networks that both transmitter and receiver dynamically move. The proposed method classifies the similar average received signal power samples using k-means++. The emulation results clarify that the proposed method can estimate the radio environment with high accuracy while reducing the registered data size compared to the conventional radio map.