CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Energy Aware Multiple Sink Repositioning Algorithm for Improving Lifetime in Wireless Sensor Networks

Published on March 2015 by R.latha, T.n.prabakar, G.jegajothi, V.prasanna Venkatesh
journal_cover_thumbnail

International Conference on Communication, Computing and Information Technology
Foundation of Computer Science USA
ICCCMIT2014 - Number 2
March 2015
Authors: R.latha, T.n.prabakar, G.jegajothi, V.prasanna Venkatesh
206ed325-7fda-4224-8aa2-ef61ce98adf9

R.latha, T.n.prabakar, G.jegajothi, V.prasanna Venkatesh . An Energy Aware Multiple Sink Repositioning Algorithm for Improving Lifetime in Wireless Sensor Networks. International Conference on Communication, Computing and Information Technology. ICCCMIT2014, 2 (March 2015), 33-36.

@article{
author = { R.latha, T.n.prabakar, G.jegajothi, V.prasanna Venkatesh },
title = { An Energy Aware Multiple Sink Repositioning Algorithm for Improving Lifetime in Wireless Sensor Networks },
journal = { International Conference on Communication, Computing and Information Technology },
issue_date = { March 2015 },
volume = { ICCCMIT2014 },
number = { 2 },
month = { March },
year = { 2015 },
issn = 0975-8887,
pages = { 33-36 },
numpages = 4,
url = { /proceedings/icccmit2014/number2/19777-7023/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication, Computing and Information Technology
%A R.latha
%A T.n.prabakar
%A G.jegajothi
%A V.prasanna Venkatesh
%T An Energy Aware Multiple Sink Repositioning Algorithm for Improving Lifetime in Wireless Sensor Networks
%J International Conference on Communication, Computing and Information Technology
%@ 0975-8887
%V ICCCMIT2014
%N 2
%P 33-36
%D 2015
%I International Journal of Computer Applications
Abstract

In Wireless Sensor Networks, potential sink selection and sink movements are costly in terms of node energy. In this paper, we propose K -Partitioned Minimum Depth Tree using the optimal search in Placing Optimal Number of Sinks in Sensor Networks for improving the Network Lifetime Maximization. Initially the optimal number of sinks is determined using the optimal sink algorithm satisfying the h-hop constraint. Then a K-Partitioned Minimum Depth Tree (k-PMDT) is constructed for positioning multiple sink nodes and setting up the routes. After determining the optimal number of sink positions and routing, best sink reposition is selected by optimum search method. Link movement is done by intelligent movement and it limits the sinks movements while maintaining their direction to the optimal positions. The main advantage of this method is to improve the lifetime of WSN's.

References
  1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, "Wireless sensor networks: a survey", Elsevier, 2001.
  2. John A. Stankovic, "Wireless Sensor Networks", 2006.
  3. F. L. LEWIS, "Wireless Sensor Networks", Smart Environments: Technologies, Protocols, and Applications, 2004.
  4. Seapahn Megerian and Miodrag Potkonjak, "Wireless Sensor Networks".
  5. Zoltán Vincze, "ENERGY EFFICIENCY ENHANCING TECHNIQUES IN WIRELESS SENSOR NETWORKS", 2008.
  6. Prerana Shrivastava and S. B. Pokle, "Survey on Sink Repositioning Techniques in Wireless Sensor Networks", International Journal of Computer Applications, Volume 51– No. 4, August 2012.
  7. Mohamed Younis and Kemal Akkaya, "Strategies and Techniques for Node Placement in Wireless Sensor Networks: A Survey".
  8. Prerana Shrivastava and Dr. S. B. Pokle, "A Hybrid Sink Positioning Technique for Data Gathering in Wireless Sensor Networks", International Journal of Engineering and Innovative Technology (IJEIT), Volume 1, Issue 3, March 2012.
  9. Mujdat Soyturk and Turgay Altilar, "A Routing Algorithm for Mobile Multiple Sinks in Large-Scale Wireless Sensor Networks".
  10. M. Amac Guvensan and A. Gokhan Yavuz, "On coverage issues in directional sensor networks: A survey", Elsevier, 2011.
  11. Yu-Chen Kuo and Shih-Chieh Lin, "A Fast Sensor Relocation Algorithm in Wireless Sensor Networks", World Academy of Science, Engineering and Technology, 2009.
  12. Wint Yi Poe and Jens B. Schmitt. "Self-Organized Sink Placement in Large-Scale Wireless Sensor Networks", 2009.
  13. Xu Xu and Weifa Liang, "Placing Optimal Number of Sinks in Sensor Networks for Network Lifetime Maximization", IEEE, 2011.
  14. Hui Zhou, Dongliang Qing, Xiaomei Zhang, Honglin Yuan, and Chen Xu, "AMultiple-Dimensional Tree Routing Protocol for Multisink Wireless Sensor Networks Based on Ant Colony Optimization", Hindawi Publishing Corporation International Journal of Distributed Sensor Networks, 2012.
  15. L. Friedmann and L. Boukhatem, "Efcient Multi-sink Relocation inWireless Sensor Networks", IEEE, 2007.
  16. Network Simulator: http:///www. isi. edu/nsnam/ns
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Energy Efficiency Sink Repositioning Lifetime Sensor Nodes