从低功耗物联网传感节点的接收功率统计估计运动统计

IF 2.2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Letters Pub Date : 2024-10-25 DOI:10.1109/LSENS.2024.3486582

Waltenegus Dargie

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引用次数: 0

摘要

低功耗物联网（IoT）传感节点可嵌入到各种物理环境中，以监测重要参数。其中一些环境会带来粗糙和极端的操作条件，严重限制了这些节点的性能。对这些环境进行建模对于提高节点的自适应能力至关重要。在这封信中，我们提出了一个模型，用于估计部署在不同水体表面的节点的复杂运动。该模型仅依赖于接收功率统计。实验结果证实，该模型是可靠的，估计准确率达到 93%。

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Estimation of Motion Statistics From Statistics of Received Power in Low-Power IoT Sensing Nodes

Low-power Internet of Things (IoT) sensing nodes can be embedded into various physical environments to monitor vital parameters. Some of these environments impose rough and extreme operation conditions, severely limiting the performance of these nodes. Modeling these environments is vital to make the nodes adaptive. In this letter, we propose a model to estimate the complex motion of nodes deployed on the surface of different water bodies. The model relies on received power statistics only. Experimental results confirm that the model is reliable, achieving an estimation accuracy of 93%.

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来源期刊

IEEE Sensors Letters Engineering-Electrical and Electronic Engineering

CiteScore

3.50

自引率

7.10%

发文量

194