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Journal of Applied Mathematics
Volume 2014, Article ID 969523, 7 pages
Research Article

An Efficient Multitask Scheduling Model for Wireless Sensor Networks

1China University of Mining & Technology, Xuzhou 221116, China
2University of Chinese Academy of Sciences, Beijing 101408, China
3Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
4Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Guangxi University for Nationalities, Nanning 530006, China

Received 5 January 2014; Accepted 19 February 2014; Published 30 March 2014

Academic Editor: X. Song

Copyright © 2014 Hongsheng Yin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The sensor nodes of multitask wireless network are constrained in performance-driven computation. Theoretical studies on the data processing model of wireless sensor nodes suggest satisfying the requirements of high qualities of service (QoS) of multiple application networks, thus improving the efficiency of network. In this paper, we present the priority based data processing model for multitask sensor nodes in the architecture of multitask wireless sensor network. The proposed model is deduced with the M/M/1 queuing model based on the queuing theory where the average delay of data packets passing by sensor nodes is estimated. The model is validated with the real data from the Huoerxinhe Coal Mine. By applying the proposed priority based data processing model in the multitask wireless sensor network, the average delay of data packets in a sensor nodes is reduced nearly to 50%. The simulation results show that the proposed model can improve the throughput of network efficiently.