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利用无人机从埋入式传感器节点收集数据。

Data Collection from Buried Sensor Nodes by Means of an Unmanned Aerial Vehicle.

作者信息

Cariou Christophe, Moiroux-Arvis Laure, Pinet François, Chanet Jean-Pierre

机构信息

INRAE, UR TSCF, University of Clermont Auvergne, 9 Av. Blaise Pascal CS 20085, F-63178 Aubiere, France.

出版信息

Sensors (Basel). 2022 Aug 8;22(15):5926. doi: 10.3390/s22155926.

Abstract

The development of Wireless Underground Sensor Networks (WUSNs) is a recent research axis based on sensor nodes buried a few dozen centimeters deep. The communication ranges are, however, highly reduced due to the high attenuation of electromagnetic waves in soil, leading to issues of data collection. This paper proposes to embed a data collector on an Unmanned Aerial Vehicle (UAV) coming close to each buried sensor node. The whole system was developed (sensor nodes, data collector, gateway) and experimentations were carried out in real conditions. In hovering mode, the measurements on the RSSI levels with respect to the position of the UAV highlight the interest in maintaining a high altitude when the UAV is far from the node. In dynamic mode, the experimental results demonstrate the feasibility of carrying out the data collection task while the UAV is moving. The speed of the UAV has, however, to be adapted to the required time to collect the data. In the case of numerous buried sensor nodes, evolutionary algorithms are implemented to plan the trajectory of the UAV optimally. To the best of our knowledge, this paper is the first one that reports experiment results combining WUSN and UAV technologies.

摘要

无线地下传感器网络(WUSN)的发展是基于埋深几十厘米的传感器节点的一个最新研究方向。然而,由于土壤中电磁波的高衰减,通信范围大幅减小,导致数据收集问题。本文提出在靠近每个埋地传感器节点的无人机(UAV)上嵌入一个数据收集器。开发了整个系统(传感器节点、数据收集器、网关)并在实际条件下进行了实验。在悬停模式下,关于无人机位置的接收信号强度指示(RSSI)水平测量突出了无人机远离节点时保持高空的好处。在动态模式下,实验结果证明了无人机移动时执行数据收集任务的可行性。然而,无人机的速度必须适应收集数据所需的时间。在有大量埋地传感器节点的情况下,实施进化算法以优化规划无人机的轨迹。据我们所知,本文是第一篇报告结合WUSN和无人机技术实验结果的文章。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d76/9371389/326dc8184874/sensors-22-05926-g001.jpg

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