We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

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

by Pranay Mondal, Nirmal Kumar Rout
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
  1. Indrajit Banerjee, Prasenjit Chanak, Biplab k. sikdar, Hafijur Rahaman, "EERIH: Energy Efficient Routing via Information Highway in Sensor Network," IEEE International conference on emerging trends in Electrical and Computer technology, March 23rd and 24th 2011, kanyakumari, India.
  2. Indrajit Banerjee, Prasenjit Chanak, Biplab k. sikdar, Hafijur Rahaman, "EER: Energy Efficient Routing in Wireless Sensor Networks," IEEE International Technology Symposium 2011, 14 – 16 January, IIT kharagpur, India.
  3. Tri Gia Nguyen, Chakchai So-In, Nhu Gia Nguyen, "Two Energgy-Efficient Cluster Head Selection Techniques Based on Distance for Wireless Sensor Networks," International Computer Science and Engineering Conference (ICSEC) 2014.
  4. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An Application-Specific Protocol Architecture for wireless Microsensor Networks," IEEE Trans. On Wireless commun. , pp. 660-670, 2002.
  5. Caruso, S. Chessa, S. De, and A. Urpi, "Gps-free coordinate assignment and routing in wireless sensor networks," in Proc. IEEE INFOCOM, Miami, USA, 2005, pp. 150–160.
  6. Mirza and C. Schurgers, "Motion-aware self-localization for underwater networks," in Proc. of third ACM international workshop on Underwater Networks, San Francisco, California, USA, 2008, pp. 51– 58.
  7. D. Mirza and C. Schurgers, "Energy-efficient ranging for post-facto self-localization in mobile underwater networks," IEEE J. Sel. Areas Commun. , vol. 26, no. 9, pp. 140–152, Dec 2008.
  8. Tan and J. Li, "Cooperative positioning in underwater sensor networks," IEEE Transactions on Signal Processing, vol. 58, no. 11, pp. 5860-5871, Nov. 2010.
  9. T. Bian, R. Venkatesan, and C. Li, "An improved localization method using error probability distribution for underwater sensor networks," in Proc IEEE International Conference on Communications (ICC), Cape Town, South Africa, May 2010, pp. 1–5.
Index Terms

Computer Science
Information Sciences

Keywords

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