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

Genetic Algorithm based Energy Aware Clustering Techniques: A Survey

by Nivedita B. Nimbalkar, Soumitra S Das
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 10
Year of Publication: 2014
Authors: Nivedita B. Nimbalkar, Soumitra S Das
10.5120/16629-6489

Nivedita B. Nimbalkar, Soumitra S Das . Genetic Algorithm based Energy Aware Clustering Techniques: A Survey. International Journal of Computer Applications. 95, 10 ( June 2014), 11-16. DOI=10.5120/16629-6489

@article{ 10.5120/16629-6489,
author = { Nivedita B. Nimbalkar, Soumitra S Das },
title = { Genetic Algorithm based Energy Aware Clustering Techniques: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 10 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number10/16629-6489/ },
doi = { 10.5120/16629-6489 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:05.554168+05:30
%A Nivedita B. Nimbalkar
%A Soumitra S Das
%T Genetic Algorithm based Energy Aware Clustering Techniques: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 10
%P 11-16
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks are comprised of sensor nodes. Responsibility of the sensor nodes is to sense the atmospheric parameters and forward this data to cluster head. As the nodes are densely deployed, there is a possibility that the data is redundant. So in order to remove the redundancy, cluster head performs aggregation of the data and forward this data to base station. Sensor networks have a limitation that they are limited in energy. They are mostly deployed in harsh areas where it is hard to replace their batteries. One way of achieving energy efficiency is to use clustering technique. In clustering, clusters of sensor nodes are formed and every cluster has one cluster head. This paper discusses genetic algorithm based cluster formation techniques along with their merits and demerits.

References
  1. G. Ahmed, N. M. Khan, and R. Ramer,2008, "Cluster Head Selection Using Evolutionary Computing in Wireless Sensor Networks" . Progress In Electromagnetics Research Symposium, Hangzhou, China
  2. Sudakshina Dasgupta, Paramartha Dutta, "An energy efficient genetic approach for clustering of wireless sensor networks"
  3. Moslem Afrashteh Mehr, "Design and Implementation a New Energy Efficient Clustering Algorithm using Genetic Algorithm for Wireless Sensor Networks", World Academy of Science, Engineering and Technology 52 2011
  4. Selim Bayrakli,Senol Zafer Erdogan , "Genetic algorithm based energy efficient clusters(GABEEC) in wireless sensor networks", ScienceDirect Computer Networks 51 (2007) 1031–1051
  5. D. Srinivasa Rao, B. J. M. Ravi Kumar , "Performance Evaluation of Genetic Based Dynamic Clustering Algorithm over LEACH Algorithm for Wireless Sensor Networks" , International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-4, September 2011
  6. Abbas Karimi, S. M. Abedini, Faraneh Zarafshan, S. A. R Al-Haddad, "Cluster Head Selection Using Fuzzy Logic and Chaotic Based Genetic Algorithm in Wireless Sensor Network", J. Basic. Appl. Sci. Res. , 3(4)694-703, 2013
  7. Shiyuan Jin, Ming Zhou, Annie S. Wu, "Sensor network optimization using genetic algorithm"
  8. Sanjeev Wagh, Ramjee Prasad, "Heuristic Clustering for Wireless Sensor Networks using Genetic Approach", International Journal of Wireless and Mobile Networking (IJWAMN)Vol. 1, No. 1(November 2013)
  9. Jianming Zhang,Yaping Lin,Cuihong, Zhou,Jingcheng Ouyang, " Optimal Model for Energy-Efficient Clustering in Wireless Sensor Networks Using Global Simulated Annealing Genetic Algorithm" , International Symposium on Intelligent Information Technology Application Workshops,2008.
  10. Basma Solaiman, Alaa Sheta, "Computational intelligence for wireless sensor networks: Applications and clustering algorithms, International Journal of Computer Applications (0975 - 8887) Volume 73 - No. 15, July 2013
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks (WSN) Cluster Head(CH) Genetic Algorithm(GA) Clustering Energy efficiency

Powered by PhDFocusTM