CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms

by Arash Ghorbannia Delavar, Abootorab Alirezaie, Amir Abbas Baradaran
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 12
Year of Publication: 2012
Authors: Arash Ghorbannia Delavar, Abootorab Alirezaie, Amir Abbas Baradaran
10.5120/7401-0328

Arash Ghorbannia Delavar, Abootorab Alirezaie, Amir Abbas Baradaran . KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms. International Journal of Computer Applications. 48, 12 ( June 2012), 25-28. DOI=10.5120/7401-0328

@article{ 10.5120/7401-0328,
author = { Arash Ghorbannia Delavar, Abootorab Alirezaie, Amir Abbas Baradaran },
title = { KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 12 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number12/7401-0328/ },
doi = { 10.5120/7401-0328 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:54.418457+05:30
%A Arash Ghorbannia Delavar
%A Abootorab Alirezaie
%A Amir Abbas Baradaran
%T KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 12
%P 25-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present a method by which we can significantly reduce energy consumption in sensor networks. In the proposed method, finding an optimum Cluster Head (CH) is performed by Genetic Algorithm (GA) and clustering the network environment is done by k-means algorithm. The results of simulation show that at the end of some certain part of running the proposed algorithm, the number of alive nodes increases, comparing with the same previous methods and this can lead to an increase in sensor network lifetime.

References
  1. C. UC mamaheswari, J. Gnanambigai," Energy Optimization in Wireless Sensor Network Using Sleep Mode ransceiver",in: Global Journal of Research in Engineering Volume 11 Issue 3 Version 1. 0 April 2011
  2. A. P BMIET, SNP, A. P IITB, SNP," An Optimized Energy Efficient Routing Algorithm For Wireless Sensor Network,in: INTERNATIONAL JOURNALOF INNOVATIVE TECHNOLOGY&CREATIVE ENGINEERING¬ (ISSN:2045-8711), VOL. 1 NO. 5MAY 2011
  3. Xin-long Luo, Wei Li, and Jia-ru Lin," Geometric Location Based on TDOA for Wireless Sensor Networks",in: International Scholarly Research Network, ISRN Applied Mathematics, Volume 2012, Article ID 710979, 10 pages, doi:10. 5402/2012/710979
  4. Amit Sharma1, Kshitij Shinghal, Neelam Srivastava, Raghuvir Singh," Energy Management for Wireless Sensor Network Nodes",in: International Journal of Advances in Engineering & Technology, Vol. 1, Mar 2011.
  5. A. G. Delavar,A. A. Baradaran,J. Artin," RGWSN: Presenting a genetic-based routing algorithm reduce energy consumption in wireless sensor network",in:IJCSI:International Journal of Computer Science Issues, Vol. 8, Issue 5, September 2011
  6. H Sivasankari, Shaila K , Venugopal K R and L M Patnaik," Cluster Based Algorithm for Energy Conservation and Lifetime Maximization in Wireless Sensor Networks", International Journal on Computer Science and Engineering (IJCSE), Vol. 3 No. 10 October 2011
  7. Hongjuan Li, Kai Lin, Keqiu Li ," Energy-efficient and high-accuracy secure data aggregation in wireless Sensor Networks",in: School of Computer Science and Technology, Dalian University of Technology, No. 2, Linggong Road, Dalian 116024, China
  8. GAO De-yun , ZHANG Lin-juan, WANG Hwang-cheng," Energy saving with node sleep and power control mechanisms for Wireless Sensor Networks,The Journal Of China Universities of Posts and Telecommunications February 2011, 18(1): 49–59
  9. Zehua Zhou , Xiaojing Xiang , Xin Wangc, Jianping Pan," A holistic sensor network design for energy conservation and efficient data dissemination,"in: Computer Networks, 2010 Elsevier
  10. V. PURUSHOTHAM REDDY, G. MICHAEL, M. UMAMAHESHWARI," Coarse-Grained ParallelGeneticAlgorithm to solve the Shortest Path Routing problem using Genetic operators", V. Purushotham Reddy et al. / Indian Journal of Computer Science and Engineering (IJCSE), Vol. 2 No. 1
  11. A. H. Mohajerzade, M. H. Yaghmaee,H. S. yazdi,A. A. Rezaee," A Fair Routing Protocol Using Generic Utility Based",in: Approach in Wireless Sensor Networks, 9781-4244-3941-6/09/$25. 00 ©2009 IEEE
  12. S. Yussof,R. A. Razali,O. H. See," A Parallel Genetic Algorithm for Shortest Path Routing Problem", 2009 International Conference on Future Computer and Communication, 978-0-7695-3591-3/09 $25. 00 © 2009 IEEE
  13. S. Hussain, A. W. Matin and O. Islam," Genetic Algorithm for Energy Efficient Clusters in Wireless sensor networks",in: International Conference on Information Technology (ITNG'07),2001 IEEE
  14. Hai-Ying Zhou, Dan-Yan Luo, Yan Gao, De-Cheng Zuo,"modeling of node energy consumption for wireless sensor networks",in:school of computer science and technology , harbin institute of technology ,harbin,china,2011
  15. J. J. Lotf, S. H. Hosseini Nazhad Ghazani," Clustering of Wireless Sensor Networks UsingHybrid Algorithm",in: Australian Journal of Basic and Applied Sciences, 5(8): 1483-1489, 2011
  16. Derek M. Johnson, Ankur M. Teredesai, and Robert T. Saltarelli," Genetic Programming in Wireless Sensor",in: Rochester Institute of Technology, Rochester NY 14623, USA
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Genetic Algorithm Routing Reduce Energy Consumption k-means Algorithm

Powered by PhDFocusTM