DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-12105

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-6, Issue-5  ( May, 2018 )
Paper Title
Scheduling Solution to Decrease The Total Task Completion Time in Wireless Sensor Actor Networks
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]
Pages
32-36
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 compared to the stochastic allocation of tasks to the actors. Keywords- Wireless Sensor Actor Networks; Task Allocation; Queuing System.
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