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

Prolonging the Network Lifetime using Fuzzy logic in Wireless Sensor Network

by Palkin Sharma, Sonia Goyal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 5
Year of Publication: 2016
Authors: Palkin Sharma, Sonia Goyal
10.5120/ijca2016910632

Palkin Sharma, Sonia Goyal . Prolonging the Network Lifetime using Fuzzy logic in Wireless Sensor Network. International Journal of Computer Applications. 145, 5 ( Jul 2016), 39-42. DOI=10.5120/ijca2016910632

@article{ 10.5120/ijca2016910632,
author = { Palkin Sharma, Sonia Goyal },
title = { Prolonging the Network Lifetime using Fuzzy logic in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 5 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number5/25278-2016910632/ },
doi = { 10.5120/ijca2016910632 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:00.758237+05:30
%A Palkin Sharma
%A Sonia Goyal
%T Prolonging the Network Lifetime using Fuzzy logic in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 5
%P 39-42
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks include deployment of large number of sensor nodes to sense, process and communicate the data to the sink. The small sized sensor nodes are cheap and can be easily deployed in harsh physical environments but the low battery source for the nodes act as a major limitation for the sensor networks to operate efficiently. The protocols have been proposed in recent times to make optimum use of the energy. Power Efficient Gathering in Sensor Information System (PEGASIS) has been considered as an efficient approach as compared to the Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, a new approach for selecting the leader of the chain has been proposed using Fuzzy Logic in which residual energy and proximity to the base station has been taken as two parameters and combining these two parameters the leader is selected which aggregates and communicates the data further to the sink. The simulation results have shown that this proposed work has improved the performance metrics of the network and thus extended the lifetime of network.

References
  1. W.B. Heinzelman, A.P Chandrakasan, H.Balakrishnan, “ An Application Specific protocol Architecture for Wireless Microsensor Networks”, IEEE Transactions n Wireless Communication, Vol. 1, pp. 660-670, 2002
  2. Z.Yang, J.Liu and X.Chen, “An Optimal Mechanism of LEACH protocol for Wireless Sensor Network”, International Colloquim on Computing Communication, Control and Management, Sanya, China, pp. 254-257, 2009.
  3. G.Smaragdakis, I. Matta and A. Bestavros, “SEP: Stable Election Protocol for clustered heterogeneous Wireless Sensor Networks”, Deptt. Of Computer Science, Boston University, USA, Tech. Rep. BUCS-TR, 2004
  4. S. Lindsey and C.S. Raghvendra, “ PEGASIS: Power Efficient Gathering in Sensor Information System”, IEEE Aerospace Conference Proceedings, pp 1125-1130, 2002
  5. O. Younis and S. Fahmy, “HEED: A Hybrid Energy Efficient Distributed Clustering Approach for Ad hoc Sensor Networks”, IEEE Transactions on Mobile Computing, pp. 90-93, 2010
  6. Chengfa Li, Mao Ye, Guihai Chen, “ An Energy Efficient Unequal Clustering Mechanism for Wireless Sensor Networks”, IEEE Mobile Adhoc and Sensor Systems Conference, pp. 604, 2005
  7. Ashfaq Ahmad, Nadeem Javaid, Zahoor Ali Khan, “Routing Scheme to Maximize Lifetime and Throughput of Wireless Sensor Networks”, IEEE Sensors Journal, Vol. 14, No. 10, 2014
  8. Ravendra Singh, Itika Gupta, A.K Daniel, “ Position based Energy Efficient Clustering Protocol under Noisy Environment for sensor Networks using Fuzzy Logic Technique”, IEEE Science and Information Conference, pp. 843-849, 2014
  9. M.S. Jahan, A.Sali, “Energy efficient geographical and power based clustering algorithm for heterogeneous wireless sensor networks”, IEEE 17th Asia Pacific Conference on Communications, pp. 826-831, 2011
  10. Madhuri Gupta, Laxmi Saraswat, “Energy Aware Data Collection in Wireless Sensor Networks using Chain based PEGASIS”, IEEE Recent Advances and Innovations in Engineering (ICRAIE), pp.1-5, 2014
  11. Oussama Ben Belghith,  Lasaad Sbita, “ Extending the Network Lifetime of Wireless Sensor Networks using Fuzzy Logic”, 12th IEEE International Conference on Systems, Signals & Devices (SSD), pp. 1-5, 2015
  12. Arun Kumar, Vijay Kumar Katiyar, “ Intelligent Cluster Routing: An Energy Efficient Approach for Routing in Wireless Sensor Networks”, International Journal of Computer Applications, Vol. 110, No. 5, pp.18-21, 2014
  13. Z.W. Siew, A. Kiring, “ Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Fuzzy Logic Control”, IEEE Colloquim on Humanities, Science and Engineering, pp. 392-397, 2011
  14. N. Tan, N.Viet, “ SCBC: Sector Chain Based Clustering Routing Protocol for Energy Efficiency in Heterogeneous Wireless Sensor Network”, IEEE International Conference on Advanced Technologies for Communications, pp. 314- 319, 2015
Index Terms

Computer Science
Information Sciences

Keywords

Environment Sensor nodes lifetime optimum

Powered by PhDFocusTM