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TQS-DP: A lightweight and active mechanism for fast scheduling based on WSN operating system TinyOS

机译:TQS-DP:一种基于WSN操作系统TinyOS的轻量级主动式快速调度机制

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Sensor technology is a key technology in the field of Internet of Things(IoT), which has been applied to the research on task scheduling of embedded systems in wireless sensor networks (WSN), it affects the existence and uniqueness of the real-time interactive behavior for IoT service, as well as the energy consumption modeling and evaluation of WSN deployment on the background of real-time embedded control systems. In this paper, through further studies on the kernel scheduling mechanism of TinyOS, aiming at its shortcomings, a lightweight scheduling strategy — quick sort scheduling strategy based on dynamic priority of tasks queue (TQS-DP) was proposed. This strategy changes the priority of tasks dynamically, and quickly put them into queues with quick sort. Meanwhile, the timeout management of tasks is taken into consideration. Whether the priority level of the task is high or low, it can be executed in due time. Finally, the simulation experiments show that our method cannot only improve the task throughput of the whole wireless sensor networks (WSNs), but also effectively reduce the energy consumption of system, in order to ensure the real-time performance, determinacy and casuality dependency of task scheduling.
机译:传感器技术是物联网领域的关键技术,已被应用于无线传感器网络(WSN)嵌入式系统的任务调度研究中,它影响了实时交互的存在和唯一性。物联网服务的行为,以及实时嵌入式控制系统的背景下对WSN部署的能耗建模和评估。本文通过对TinyOS内核调度机制的进一步研究,针对其缺点,提出了一种轻量级的调度策略—基于任务队列动态优先级的快速排序调度策略(TQS-DP)。该策略动态更改任务的优先级,并通过快速排序将它们快速放入队列。同时,考虑了任务的超时管理。无论任务的优先级是高还是低,都可以在适当的时间执行它。最后,仿真实验表明,该方法不仅可以提高整个无线传感器网络(WSN)的任务吞吐量,而且可以有效降低系统的能耗,从而确保实时性,确定性和偶然性。任务调度。

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