从无线传感器网络收集难以到达区域的无人机数据

L. Fernández, Miguel Angel Polo Castañeda, Luis Leonardo Camargo Ariza, Yesica Tatiana Beltrán Gómez
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引用次数: 0

摘要

为了实现无线传感器网络来捕获大气数据,传感器节点往往部署在难以到达的区域,要么是为了避免由于人类交互而造成的滥用,要么是由于该区域的变化对许多研究来说是理想的。然而,进入这些区域或部署传统的无线传感器网络可能很困难或昂贵。因此,本研究提出了一种部署在难以到达的区域或传感器节点之间的距离不允许实现网状拓扑网络的无线传感器网络数据采集系统,使用无人机作为移动sink节点,使用Wi-Fi技术和HTTP协议进行数据采集。为了实现这一目标,开发了组件的选择过程和无线通信技术,将系统集成在一起。同样,进行测量以确定最大分离距离,从而保证传感器节点和汇聚节点之间的连接。此外,对组件系统的算法进行了开发和实现,并通过单元测试和积分测试对系统的运行进行了评价。其中的结果是传感器网络原型,节点之间的最大分离距离给出了35米的结果,算法为节点固件;并对无人机的耦合部件进行设计和3D打印。以同样的方式,可以验证在提议的场景中使用无人机作为无线传感器网络信息收集的汇聚节点在技术上是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV Data collection in hard-to-reach areas from a Wireless Sensor Network
To implement a Wireless Sensor Network to capture atmospheric data, the sensor nodes tend to be deployed in hard-to-reach areas, either to avoid abuse due to human interaction or as a result of the fact that variations in that zone are ideal to many studies. However, enter such areas or deploy a traditional Wireless Sensor Network can be difficult or expensive. Therefore, this research proposes to implement a data collection system of Wireless Sensor Network deployed in hard-to-reach areas or where the distance between sensors nodes does not allow the implementation of a network with mesh topology, using Unmanned Aerial Vehicle as mobile sink node, which collects data using Wi-Fi technology and HTTP protocol. To achieve this, a selection process of components and wireless communication technology was developed, which would integrate the system. Likewise, measurements were made that allowed determine the maximum separation distance at which the connection between sensor node and the sink node is guaranteed. In addition, the algorithms of components system were developed and implemented, and the system operation was evaluated through unit and integral tests. Among the results are the sensors network prototypes, maximum separation distance between nodes that gave as a result 35 meters, the algorithms for nodes firmware; and the coupling part design and 3D printing to the Unmanned Aerial Vehicle. In the same way, it was possible to verify the use of an Unmanned Aerial Vehicle as sink node for Wireless Sensor Network information collection implemented in the proposed scenarios is technically feasible.
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