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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2014-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2014/969523 |
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doaj-f0303a6d135c4ffa80ba8aed561359642020-11-25T00:54:41ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/969523969523An Efficient Multitask Scheduling Model for Wireless Sensor NetworksHongsheng Yin0Honggang Qi1Jingwen Xu2Xin Huang3Anping He4China University of Mining & Technology, Xuzhou 221116, ChinaUniversity of Chinese Academy of Sciences, Beijing 101408, ChinaUniversity of Chinese Academy of Sciences, Beijing 101408, ChinaChina University of Mining & Technology, Xuzhou 221116, ChinaGuangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Guangxi University for Nationalities, Nanning 530006, ChinaThe 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.http://dx.doi.org/10.1155/2014/969523 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hongsheng Yin Honggang Qi Jingwen Xu Xin Huang Anping He |
spellingShingle |
Hongsheng Yin Honggang Qi Jingwen Xu Xin Huang Anping He An Efficient Multitask Scheduling Model for Wireless Sensor Networks Journal of Applied Mathematics |
author_facet |
Hongsheng Yin Honggang Qi Jingwen Xu Xin Huang Anping He |
author_sort |
Hongsheng Yin |
title |
An Efficient Multitask Scheduling Model for Wireless Sensor Networks |
title_short |
An Efficient Multitask Scheduling Model for Wireless Sensor Networks |
title_full |
An Efficient Multitask Scheduling Model for Wireless Sensor Networks |
title_fullStr |
An Efficient Multitask Scheduling Model for Wireless Sensor Networks |
title_full_unstemmed |
An Efficient Multitask Scheduling Model for Wireless Sensor Networks |
title_sort |
efficient multitask scheduling model for wireless sensor networks |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2014-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2014/969523 |
work_keys_str_mv |
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