• DocumentCode
    724057
  • Title

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

  • Author

    Zhang Jing ; Xue Leng ; Fan Hongbo ; Cui Yi

  • Author_Institution
    Comput. Technol. Applic. Key Lab. of Yunnan Province, Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1470
  • Lastpage
    1475
  • Abstract
    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.
  • Keywords
    Internet of Things; energy conservation; operating systems (computers); scheduling; wireless sensor networks; Internet of Things; IoT; TQS-DP mechanism; TinyOS; WSN operating system; energy consumption reduction; fast scheduling; kernel scheduling mechanism; quick sort scheduling strategy based on dynamic priority of tasks queue; realtime embedded control systems; sensor technology; task scheduling; wireless sensor networks; Dynamic scheduling; Energy consumption; Job shop scheduling; Real-time systems; Throughput; Wireless sensor networks; TinyOS; WSN; dynamic priority; energy consumption; real-time; scheduling mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162151
  • Filename
    7162151