• DocumentCode
    653269
  • Title

    Evaluation of the Task Communication Performance in Wireless Sensor Networks: A Queue Theory Approach

  • Author

    Wang Jie ; Kuan-jiu Zhou ; Kai Cui ; Xiang-jie Kong ; Guang Yang

  • Author_Institution
    Dept. of Embedded Syst. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    939
  • Lastpage
    944
  • Abstract
    In this paper, a communication task scheduling evaluation model based on the queue model is proposed to analyze the wireless sensor performance parameters. The typical communication task scheduling which deals with all communication tasks scheduling requests and makes actions or responses. A task scheduling-preemptive-priority model is proposed to simulate and analyze typical wireless sensor network using matrix-geometric theory. And then, several merits of the communication task schedule are obtained, including the communication task loss rate, the average response time and the wireless sensor occupancy rate. At last, experiments are conducted to show the performance of our scheme. Simulation results manifest that when sensor usage rate up to 97%, our scheme is feasible for wireless sensor networks.
  • Keywords
    queueing theory; scheduling; wireless sensor networks; communication task loss rate; communication task schedule; communication task scheduling evaluation model; communication tasks scheduling requests; matrix-geometric theory; queue model; queue theory approach; response time; sensor usage rate up; task communication performance; task scheduling-preemptive-priority model; wireless sensor networks; wireless sensor performance parameters; Analytical models; Queueing analysis; Scheduling; Steady-state; Time factors; Wireless communication; Wireless sensor networks; Wireless Sensor Network; matrix-geometric theory; queuing theory; task schedule performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.162
  • Filename
    6682176