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Batch Mode Job Scheduling Scheme (BJSS) for Clusters in Underwater Wireless Sensor Network (UWSN)

by Pranay Mondal, Nirmal Kumar Rout
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 7
Year of Publication: 2015
Authors: Pranay Mondal, Nirmal Kumar Rout
10.5120/21237-3995

Pranay Mondal, Nirmal Kumar Rout . Batch Mode Job Scheduling Scheme (BJSS) for Clusters in Underwater Wireless Sensor Network (UWSN). International Journal of Computer Applications. 120, 7 ( June 2015), 4-8. DOI=10.5120/21237-3995

@article{ 10.5120/21237-3995,
author = { Pranay Mondal, Nirmal Kumar Rout },
title = { Batch Mode Job Scheduling Scheme (BJSS) for Clusters in Underwater Wireless Sensor Network (UWSN) },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 7 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 4-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number7/21237-3995/ },
doi = { 10.5120/21237-3995 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:05:35.020805+05:30
%A Pranay Mondal
%A Nirmal Kumar Rout
%T Batch Mode Job Scheduling Scheme (BJSS) for Clusters in Underwater Wireless Sensor Network (UWSN)
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 7
%P 4-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cluster selection of Underwater Wireless Sensor Network (UWSN) is an important factor for achieving lowest energy consumption and thus makes it more energy efficient. This energy efficiency also enhances the lifespan of the network. In this paper, we propose a Batch mode Job Scheduling Scheme (BJSS) technique for selection of the cluster. The BJSS is a standout among the most mainstream individuals for cluster selection. The selection of these clusters are based upon criteria such as number of jobs allocated to the cluster head (CH), numbers of clusters available for doing that job, time consumption for doing the allocated job and energy of that cluster. For assessment of cluster selection, several threshold values, to represent practically possible energy consumptions are introduced. This proposed technique is verified by the simulation results. By using this technique UWSN is more energy-efficient and long lifespan of the battery or power source.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-criteria decision making MCDM PROMETHEE II Wireless Sensor Network WSN.

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