Autonomous First Response Drone-Based Smart Rescue System for Critical Situation Management in Future Wireless Networks

J. P. Lemayian, Jehad M. Hamamreh
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引用次数: 3

Abstract

Numerous problems have been experienced due to the current exponential rise in urban population. Such challenges include insecurity and disaster management. It is therefore critical that new and efficient ways of disaster management are realized. Drone technology has been used in many applications due to their flexibility and cost-effectiveness in executing tasks. Such applications include goods delivery, data collection, surveillance, and tracking. This paper proposes an autonomous first response drone-based (Auto-FRD) smart rescue system. Auto-FRD paradigm uses drones to provide quick response to critical situations in a smart city setting. The system comprises three main sections: sensor network, intelligent drones, and the command center. The Auto-FRD system is designed such that the drones automatically deploy to a specific location upon receiving an alert signal from the smart sensors, as opposed to people sending the signal. Moreover, the system is implemented using cheap LoRa technology. Experimental results show that the proposed system drastically reduces the response time compared to conventional critical situation response systems. Additionally, the data collected by the drones prove to be extra valuable when analyzing the critical situation.
基于无人机的自主第一反应智能救援系统在未来无线网络中的关键情况管理
由于目前城市人口的指数增长,出现了许多问题。这些挑战包括不安全和灾害管理。因此,实现新的和有效的灾害管理方法是至关重要的。无人机技术由于其在执行任务时的灵活性和成本效益,已在许多应用中使用。这些应用包括货物交付、数据收集、监视和跟踪。提出了一种基于自主第一反应无人机(Auto-FRD)的智能救援系统。Auto-FRD范例使用无人机对智能城市环境中的关键情况提供快速响应。该系统包括传感器网络、智能无人机和指挥中心三个主要部分。Auto-FRD系统的设计是,无人机在接收到智能传感器发出的警报信号后,自动部署到特定位置,而不是人工发送信号。此外,该系统采用廉价的LoRa技术实现。实验结果表明,与传统的紧急情况响应系统相比,该系统的响应时间大大缩短。此外,无人机收集的数据在分析紧急情况时被证明是非常有价值的。
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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