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Stability of Cloud-Based UAV Systems Supporting Big Data Acquisition and Processing

机译:支持大数据采集和处理的基于云的无人机系统的稳定性

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摘要

Unmanned Aerial Vehicle (UAV) technology has been widely applied in both military and civilian applications. Recent researches on UAV systems feature in the dramatic augment of the variety and number of equipped sensors, which results in such an issue that multiple UAVs cannot afford to handle the big data generated by a range of sensors in the air. Considering this practical problem, in this paper, we propose a cloud-based UAV system which incorporates the computing capability of the terrestrial cloud into the UAV systems. Relying on proposed cloud-based UAV system, one critical theoretic issue is how to acquire the big data generated by the sensors while guaranteeing a stable operation state of the system. First, we analyze the cloud-based system's on-demand service ability as well as its impact on UAVs' control procedure. Second, the UAV cloud control system is modeled as a network control system. Moreover, the stable condition of the UAV cloud control system is derived, which reveals the relationship between the acquisition rate of sensor data and the stability of the cloud-based UAV system. Finally, simulations are conducted to verify the effectiveness of our theoretical analysis.
机译:无人机技术已经广泛应用于军事和民用领域。对无人机系统的最新研究以装备传感器的种类和数量的急剧增加为特征,这导致了这样的问题,即多个无人机无法承受空中各种传感器产生的大数据。考虑到这一实际问题,本文提出了一种基于云的无人机系统,该系统将陆地云的计算能力整合到了无人机系统中。依靠提出的基于云的无人机系统,一个关键的理论问题是如何在确保系统稳定运行状态的同时获取传感器生成的大数据。首先,我们分析了基于云的系统的按需服务能力及其对无人机控制程序的影响。其次,将无人机云控制系统建模为网络控制系统。此外,推导了无人机云控制系统的稳定状态,揭示了传感器数据的获取率与基于云的无人机系统的稳定性之间的关系。最后,进行仿真以验证我们理论分析的有效性。

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