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An Improved Task Scheduling Algorithm for Intelligent Control in Tiny Mechanical System

机译：小型机械系统智能控制的改进任务调度算法

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摘要

Wireless sensor network (WSN) has been already widely used in many fields in terms of industry, agriculture, and military, and so forth. The basic composition is WSN nodes that are capable of performing processing, gathering information, and communicating with other connected nodes in the network. The main components of a WSN node are microcontroller, transceiver, and some sensors. Undoubtedly, it also can be added with some actuators to form a tiny mechanical system. Under this case, the existence of task preemption while executing operating system will not only cost more energy for WSN nodes themselves, but also bring unacceptable system states caused by vibrations. However for these nodes, task I/O delays are inevitable due to the existence of task preemption, which will bring extra overhead for the whole system, and even bring unacceptable system states caused by vibrations. This paper mainly considers the earliest deadline first (EDF) task preemption algorithm executed in WSN OS and proposes an improved task preemption algorithm so as to lower the preemption overhead and I/O delay and then improve the system performance. The experimental results show that the improved task preemption algorithm can reduce the I/O delay effectively, so the real-time processing ability of the system is enhanced.
机译：无线传感器网络（WSN）已经在工业，农业和军事等方面广泛应用于许多领域。基本组成是能够执行处理，收集信息并与网络中其他连接的节点通信的WSN节点。 WSN节点的主要组件是微控制器，收发器和一些传感器。毫无疑问，它也可以添加一些执行器，以形成一个很小的机械系统。在这种情况下，执行操作系统时任务抢占的存在不仅会给WSN节点本身付出更多的精力，还会带来由振动引起的无法接受的系统状态。但是，对于这些节点，由于存在任务抢占，任务I / O延迟是不可避免的，这将给整个系统带来额外的开销，甚至会因振动而导致无法接受的系统状态。本文主要考虑了在WSN OS中执行的最早期限优先（EDF）任务抢占算法，并提出了一种改进的任务抢占算法，以降低抢占开销和I / O延迟，进而提高系统性能。实验结果表明，改进后的任务抢占算法可以有效地减少I / O延迟，从而增强了系统的实时处理能力。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第8期|307869.1-307869.8|共8页
  • 作者

    Jialiang Wang; Hai Zhao; Yuanguo Bi; Xingchi Chen; Ruofan Zeng; Yu Wang;

  • 作者单位

    College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

    College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

    College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

    College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

    College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

    College of Information Science & Engineering, Northeastern University, Shenyang 110819, China;

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