DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-6, Issue-2 ( Feb, 2018 ) | |||||||||
Paper Title |
Scheduling Solution Decrease The Total Task Completion Time in Wireless Sensor Actor Network | |||||||||
Author Name |
Morteza Okhovvat, Mohammad Reza Kangavari, Houman Zarrabi | |||||||||
Affilition |
Computational Cognitive Models Research Laboratory, School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran, [email protected] Computational Cognitive Models Research Laboratory, School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran, [email protected] Institute of Communication Technologies, Iran Telecommunication Research Center, Tehran, Iran, [email protected] | |||||||||
Pages |
30-34 | |||||||||
Abstract |
In this paper, we present a scheduling model based on queuing theory to minimize the network make-span in wireless sensor and actor networks. We compute the best rate of distribution of tasks by the network sink to allocated actors through a steady state analysis of our proposed model to solve equations and inequalities. It is shown that this distribution rate can enhance the total residual energies of the actor nodes, too. Experimental results on a typical scenario have shown approximately 40% improvement in reducing the make-span and 20% enlargement in reserving energies of the actors compared to the stochastic allocation of tasks to the actors. Keywords- Wireless Sensor Actor Networks; Task Allocation; Queuing System; Residual energy. | |||||||||
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