An Efficient Multitask Scheduling Model for Wireless Sensor Networks

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 effi...

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Bibliographic Details
Published in:Journal of Applied Mathematics 2014-01, Vol.2014 (2014), p.999-1005-989
Main Authors: Yin, Hongsheng, Qi, Honggang, Xu, Jingwen, Huang, Xin, He, Anping
Format: Article
Language:English
Subjects:
Coal mining
Data processing
Delay
Earthquakes
Electronic data processing
Information management
Mathematical models
Methods
Networks
Priorities
Quality of service
Queues (Computers)
Queuing theory
Remote sensors
Science
Sensors
Wireless networks
Wireless sensor networks
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Summary: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.
ISSN:1110-757X
1687-0042
DOI:10.1155/2014/969523