An Efficient Multitask Scheduling Model for Wireless Sensor Networks
Joint Authors
Huang, Xin
Yin, Hongsheng
Qi, Honggang
Xu, Jingwen
He, Anping
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yin, Hongsheng& Qi, Honggang& Xu, Jingwen& Huang, Xin& He, Anping. 2014. An Efficient Multitask Scheduling Model for Wireless Sensor Networks. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-512283
Modern Language Association (MLA)
Yin, Hongsheng…[et al.]. An Efficient Multitask Scheduling Model for Wireless Sensor Networks. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-512283
American Medical Association (AMA)
Yin, Hongsheng& Qi, Honggang& Xu, Jingwen& Huang, Xin& He, Anping. An Efficient Multitask Scheduling Model for Wireless Sensor Networks. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-512283
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512283