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
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;
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
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.162