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

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Increase the Lifetime of Wireless Sensor Network using Clustering and Compression

by Satyajeet R. Shinge, S.S. Sambare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 16
Year of Publication: 2015
Authors: Satyajeet R. Shinge, S.S. Sambare
10.5120/ijca2015905734

Satyajeet R. Shinge, S.S. Sambare . Increase the Lifetime of Wireless Sensor Network using Clustering and Compression. International Journal of Computer Applications. 123, 16 ( August 2015), 14-17. DOI=10.5120/ijca2015905734

@article{ 10.5120/ijca2015905734,
author = { Satyajeet R. Shinge, S.S. Sambare },
title = { Increase the Lifetime of Wireless Sensor Network using Clustering and Compression },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 16 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number16/22043-2015905734/ },
doi = { 10.5120/ijca2015905734 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:52.333305+05:30
%A Satyajeet R. Shinge
%A S.S. Sambare
%T Increase the Lifetime of Wireless Sensor Network using Clustering and Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 16
%P 14-17
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Network (WSN) consists of small, light weighted, low cost sensor nodes to monitor the presence of environmental and physical phenomena like wind speed, temperature etc. The nodes in the WSN have limited battery-power. Improving the lifetime is one objective of any wireless sensor network. There are different solutions to fulfill this objective. Clustering approach is one solution clustering algorithm is used to create the cluster of the nodes and select the cluster head to perform the data collection and transmission operation. LEACH (Low Energy Adaptive Clustering Hierarchy), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) are examples of clustering algorithms. A sensor node requires more energy for transmission rather than sensing and processing the information. Hence, data compression is another solution used to transfer lesser bits to final location. In this paper, we proposed a model where we use both clustering algorithm and compression algorithm to increase the Life of Wireless Sensor Network. To form a cluster we use a PSO clustering algorithm and to compress the data into smaller bits we use a Huffman compression algorithm.

References
  1. Nikhil Marriwala, Priyanka Rathee, “An Approach to Increase the Wireless Sensor Network Lifetime”, 978-1-4673-4805-8/12/,pp. 495-499 IEEE 2012.
  2. Hu Junping, Jin Yuhui, Dou Liang, “A Time-based Cluster-Head Selection Algorithm for LEACH”, 978-1-4244-2703-1/08/$25.00 ©2008 IEEE.
  3. N. M. Abdul Latiff, C. C. Tsimenidis and B. S. Sharif, “Energy-Aware Clustering For Wireless Sensor Networks Using Particle Swarm Optimization”, The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications,, IEEE 2007.
  4. Dervis Karaboga, Selcuk Okdem andCelal Ozturk, “Cluster based wireless sensor network routing using artificial bee colony algorithm”, published online: 24 April 2012 @Springer Science+Business Media, LLC 2012.
  5. Francesco Marcelloni,, Massimo Vecchio, “A simple algorithm for Data compression in Wireless Sensor Network” , IEEE COMMUNICATIONS LETTERS,1089-7798/08/@2008 IEEE.
  6. Eug`ene Pamba Capo-Chichi, Herv´e Guyennet andJean- Michel Friedt, “K-RLE : A new Data Compression Algorithm forWireless Sensor Network”, Third International Conference on Sensor Technologies and Applications, pp. 502-507, IEEE 2009.
  7. Nikitha Kukunuru, Babu Rao Thella, Rajya Lakshmi Davuluri, “Sensor Deployment Using Particle Swarm Optimization”, International Journal of Engineering Science and Technology Vol. 2(10), 2010, 5395-5401.
  8. Zhou Yan-li, Fan Xiao-ping, Liu Shao-qiang and Xiong Zhe-yuan, “Improved LZW Algorithm of Lossless Data Compression for WSN”, 978-1-4244-5540-9/10, pp. 523-527 © IEEE 2010.
  9. Selcuk Okdem and Dervis Karaboga, “Routing in Wireless Sensor Networks Using an Ant Colony Optimization (ACO) Router Chip”, Sensors 2009, 9, 909-921; doi:10.3390/s90200909, ISSN 1424-8220.
  10. Stefania Monica and Gianluigi Ferrari, “Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks” Springer-Verlag Berlin Heidelberg 2013, ICANNGA 2013, pp. 456–465 .
  11. Valeria Loscrí, Enrico Natalizio and Francesca Guerriero, “Particle Swarm Optimization Schemes Based on Consensus for Wireless Sensor Networks”, MSWiM’12, October 21–25, 2012, Paphos, Cyprus. Copyright 2012 ACM 978-1-4503-1628-6/12/10.
  12. FabianCastaño, AndréRossi, MarcSevaux, NubiaVelasco, “A column generation approach to extend lifetime in wireless sensor networks with coverage and connectivity constraints” 2013 @Elsevier.
  13. Satyajeet R. Shinge, S. S. Sambare, “ Survey of different Clustering Algorithms used to Increase the Lifetime of Wireless Sensor Networks”, International Journal of Computer Application(IJCA) , Vol. 108, December 2014, pp. 15-18.
Index Terms

Computer Science
Information Sciences

Keywords

clustering WSN compression lifetime energy.

Powered by PhDFocusTM