Precise Localization in Sparse Sensor Networks using a Drone with Directional Antennas

Francesco Betti Sorbelli, Sajal K. Das, M. C. Pinotti, S. Silvestri
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引用次数: 9

Abstract

In this paper, we study a sensor localization technique that replaces fixed anchors with a drone equipped with directional antennas. Our goal is to localize each sensor in the deployment area achieving the localization precision explicitly required by the final user of the sensor networks. Due to the advent of directional antennas, we precisely localize applying a single trilateration for each sensor. To reach the desired precision, we force that each ground distance measured by the drone is greater than a minimum threshold and we set a suitable beamwidth for the directional antennas. Our proposed solution plans a static path for the drone and determines on it the measurements points such that all the sensors are measured at least three times from different antenna orientations. The performance of our solution, evaluated in terms of the static path length and of the achieved precision, is validated by simulation study. With respect to recently published results on sensor localization using flying anchors, our solution finds a shorter path (at least 30%), localizes all the nodes, and requires a single trilateration for each sensor.
无人机定向天线稀疏传感器网络的精确定位
在本文中,我们研究了一种传感器定位技术,用配备定向天线的无人机代替固定锚。我们的目标是定位部署区域中的每个传感器,实现传感器网络最终用户明确要求的定位精度。由于定向天线的出现,我们精确地定位应用一个单一的三边测量每个传感器。为了达到所需的精度,我们强制无人机测量的每个地面距离大于最小阈值,并为定向天线设置合适的波束宽度。我们提出的解决方案为无人机规划了一条静态路径,并确定了测量点,以便从不同的天线方向测量所有传感器至少三次。通过仿真研究验证了该方案的性能,并对静态路径长度和实现精度进行了评价。根据最近发表的使用飞锚定位传感器的结果,我们的解决方案找到了一条更短的路径(至少30%),定位了所有节点,并且需要对每个传感器进行一次三边测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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