An Efficient Multitask Scheduling Model for Wireless Sensor Networks. (30th March 2014)
- Record Type:
- Journal Article
- Title:
- An Efficient Multitask Scheduling Model for Wireless Sensor Networks. (30th March 2014)
- Main Title:
- An Efficient Multitask Scheduling Model for Wireless Sensor Networks
- Authors:
- Yin, Hongsheng
Qi, Honggang
Xu, Jingwen
Huang, Xin
He, Anping - Other Names:
- Song X. Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Journal of applied mathematics. Volume 2014(2014)
- Journal:
- Journal of applied mathematics
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-03-30
- Subjects:
- Mathematics -- Periodicals
519.05 - Journal URLs:
- https://www.hindawi.com/journals/jam/ ↗
- DOI:
- 10.1155/2014/969523 ↗
- Languages:
- English
- ISSNs:
- 1110-757X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17022.xml