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Asymmetric multiprocessing techniques in smart devices: Application in a drone navigation system

机译:智能设备中的非对称多处理技术:在无人机导航系统中的应用

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Smart devices can be considered an essential element of the Internet-of-Things (IoT) revolution. Devices able to gather and process data to provide high-level information to other nodes will enable advanced and effective smart applications in the near future. To let IoT objects to become smarter and smarter, advanced embedded architecture must be considered. In this direction, this paper exploits the use of heterogeneous Asymmetric MultiProcessing (AMP) techniques in the IoT scenario by considering a smart device in which real-time acquisition and processing capabilities are necessary: a drone. In the paper an AMP-based drone system is first presented, considering a System-on-Chip (SoC) solution based on microprocessors and microcontrollers. Then time performance in navigation parameters acquisition and processing is presented, considering a real-time operating system running on the core delegated to such task. Presented results show the benefits of the proposed approach in which high real-time constraints are satisfied in calculating navigation parameters, while other demanding IoT tasks can be executed simultaneously. Along with the selected use case, the proposed approach can be used in a wide range of smart devices in which higher computational performance are required.
机译:智能设备可以被视为物联网(IoT)革命的重要组成部分。能够收集和处理数据以向其他节点提供高级信息的设备将在不久的将来启用高级且有效的智能应用程序。为了让物联网对象变得越来越聪明,必须考虑使用先进的嵌入式架构。在这个方向上,本文通过考虑需要实时采集和处理功能的智能设备:无人机,来利用物联网场景中的异构非对称多处理(AMP)技术。在本文中,首先介绍了基于AMP的无人机系统,其中考虑了基于微处理器和微控制器的片上系统(SoC)解决方案。然后,考虑了在委派给此类任务的核心上运行的实时操作系统,提出了导航参数获取和处理中的时间性能。提出的结果显示了该方法的好处,该方法在计算导航参数时可以满足高实时约束,而其他要求苛刻的物联网任务则可以同时执行。与选定的用例一起,提出的方法可用于需要更高计算性能的各种智能设备中。

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