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Reseach Article

An Efficient Load Balancing Algorithm for Energy Utilization in Wireless Sensor Network

by Rajendra S. Navale, Vaishali S. Deshmukh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 8
Year of Publication: 2013
Authors: Rajendra S. Navale, Vaishali S. Deshmukh
10.5120/14137-2269

Rajendra S. Navale, Vaishali S. Deshmukh . An Efficient Load Balancing Algorithm for Energy Utilization in Wireless Sensor Network. International Journal of Computer Applications. 82, 8 ( November 2013), 26-30. DOI=10.5120/14137-2269

@article{ 10.5120/14137-2269,
author = { Rajendra S. Navale, Vaishali S. Deshmukh },
title = { An Efficient Load Balancing Algorithm for Energy Utilization in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 8 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number8/14137-2269/ },
doi = { 10.5120/14137-2269 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:14.089868+05:30
%A Rajendra S. Navale
%A Vaishali S. Deshmukh
%T An Efficient Load Balancing Algorithm for Energy Utilization in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 8
%P 26-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent days Wireless Sensor Network has grown up very vastly. Energy efficiency is the most important consideration in WSN. Many algorithms were developed for the purpose of energy efficiency. In WSN there are number of sink nodes present and this sink nodes may have different loads and because of this they require different energy for transmission of data to a particular base stations. But while implementation of network this sink node has generally same capacity and same energy power associated with it. If some sink nodes are having fewer loads, then they utilize less energy associated with it and vice versa. Here load is nothing but the number of base stations handled by that particular sink node. Due to underutilization and overutilization of energy by all the sink nodes, it is necessary to have some technique or algorithms that balance the load among all the sink nodes in WSN. To balance the load among all the sink nodes there were many algorithms developed. One of which is called as load balancing for energy utilization algorithm which was totally depend on Smart Boundary Yao Gabriel Graph(SBYaoGG) algorithm. And in this paper a new load balancing algorithm is presented which is called as Efficient Load Balancing Algorithm for WSNs. And also results of this new algorithm are discussed in results section.

References
  1. Rajendra S. Navale, Vaishali S. Deshmukh"A Distributed Topology Control Technique for low interference and load balancing of energy utilization in WSNs. " International Journal of Engg. And Scientific Research, Vol. 4, Issue7, Jully2013, ISSN2229-5518
  2. Tapiwa M. Chiwewe, student Member, IEEE, and Gerhard P. Hancke, Senior Member, IEEE "A Distributed topology Control Technique For Energy efficiency and Low Intereference In Wireless Sensor Networks" IEEE TRANSACTION ON INDUSTRIAL INFORMATICS,VOL. 8, NO. 1, FEBRUARY 2012.
  3. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci," A Survey on sensor networks," IEEE Commun. Mag. ,vol. 40, no. 8, pp. 102-110, 2002.
  4. M. M. Shalaby, M. A. Abdelmoneum, and K. Saitou," Design of spring coupling for high-Q high-frequency MEMS filters for wireless applications,"IEEE Trans. Ind. Electron. , vol. 56, no. 4, pp. 1022-1030, Apr. 2009.
  5. A. Willing,"Recent and emerging topics in wireless industrial communications: A selection," IEEE Trans. Ind. Inform. ,vol. 4, no. 2, pp. 102-122, May2008.
  6. V. C. Gungor and G. P. Hancke," Industrial wireless sensor networks: challenges, design principles, and technical approaches," IEEE Trans. Ind. Electron. , vol. 56,no. 10,pp. 4258-4265, Oct. 2009.
  7. Alice Le Gall, Valerie Cialetti, Jean-Jacques Berthelier, Alain Reineix, Christophe Guiffaut, Richard Ney, Francois Dolon, and Sebastien Bonaime "An Imaging HF GPR Using Stationary Antennas: Experimental Validation over the Antartic Ice Sheet," IEEE TRANSCATION ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 12 DECEMBER 2008.
  8. V. C gungor, B. Lu, andG. P. Hancke," Opportunities and challenges of wireless sensor networks in smart grid," IEEE TRANS. Ind. Electron. , vol. 57, no. 10,pp. 3557-3564, Oct. 2010.
  9. A. Koubaa, R. Severnio, M. Alves, and E. Tovar," improving quality of service in wireless sensor network by mitigating hidden-node collisions," IEEE Trans. Ind. Inform. , vol. 5, no. 3, pp. 299-313, Aug. 2009.
  10. D. M. Blough, M. Leoncini, G. Resta, and p. santi"The K-Neigh protocol for symmetric topology control in ad hoc networking and computing, 2003, pp. 141-152.
  11. P. von Rickenbach, R. Wattenhofer, and A. Zollinger," Algorithmic models of interference in wireless ad hoc and sensor networks,"IEEE/ACM Trans. Networking. vol. 17, no. 1,pp. 172-185, Feb. 2009.
  12. L. Li, J. Y. Halpern, P. Bahl, Y-M. Wang,and R. Wattenhofer,"a cone based distributed topology control algorithm for wireless multi hop networks," IEEE/ACM Trans. Networking,vol. 13, no. 1. pp. 147-159,Feb. 2005.
  13. P. santi and D. M. Blough," The critical transmitting range for connectivity in sparse wireless ad hoc networks," IEEE Trans. Mobile Computing,vol. 2, no. 1, pp. 25-39, Jan-Mar. 2003.
  14. V. Kawadia and P. R. Kumar,"Principles and protocols for power control in wireless ad hoc networks," IEEE J. Sel. Areas Commun, vol. 23, no. 1, pp. 76-88, Jan. 2005.
  15. A. Cerpa and D. Estrin," ASCENT: Adaptive self configuring sensor networks topologies", IEEE Trans. Mobile Comput, vol. 3, pp. 272-285, Jul-Aug. 2004.
  16. Piotr Zwierzykowski, Maciej Piechowiak " The Influence of Network Topology on the Efficiency of Multicst Heuristic Algorithms".
  17. Chunping Wang, Wei Wu "A Load Balance Routing Algorithm for on Communicmion Software and Networks. 978-0-7695•3522?7109$25?00o2009 Multi sink Wireless Sensor Networks" 2009 International Confe?renee IEEE DOI 10. 1109?ICCSN?2009?148
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor network Load balancing Interference Graph theory Topology control