We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 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

Enhanced Threshold Sensitive Stable Election Protocol using Fuzzy Logic for Wireless Sensor Networks

by Shailie Rai, Pallavi Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 8
Year of Publication: 2017
Authors: Shailie Rai, Pallavi Gupta
10.5120/ijca2017913705

Shailie Rai, Pallavi Gupta . Enhanced Threshold Sensitive Stable Election Protocol using Fuzzy Logic for Wireless Sensor Networks. International Journal of Computer Applications. 164, 8 ( Apr 2017), 12-18. DOI=10.5120/ijca2017913705

@article{ 10.5120/ijca2017913705,
author = { Shailie Rai, Pallavi Gupta },
title = { Enhanced Threshold Sensitive Stable Election Protocol using Fuzzy Logic for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 8 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 12-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number8/27502-2017913705/ },
doi = { 10.5120/ijca2017913705 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:45.299294+05:30
%A Shailie Rai
%A Pallavi Gupta
%T Enhanced Threshold Sensitive Stable Election Protocol using Fuzzy Logic for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 8
%P 12-18
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an Enhanced Threshold Sensitive Stable Election Protocol using Fuzzy Logic (ETSSEPFL) is proposed to prolong the lifespan of heterogeneous wireless sensor networks (HWSNs). It improves existing SEP and TSEP protocols by using a fuzzy logic expert system which intelligently assigns cluster heads (CHs) which lead to energy efficient HWSN. The focus is on two linguistic variables for the design of a fuzzy expert system, which include residual energy and distance to a base station (BS). The simulation results of this research are compared with SEP and TSEP protocols to evaluate the performance of the proposed routing protocol. The evaluation concludes that the proposed routing protocol is better in prolonging network lifetime, increasing stability period and throughput. ETSSEPFL builds a more stable routing environment as compared to SEP and TSEP.

References
  1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “A survey on sensor networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 102–114, August 2002.
  2. I.F. Akyildiz, W.J. Su, Y. Sankarasubramaniam, E. Cayirci, “Wireless sensor networks: a survey”, Computer Networks 38, 393–422, 2002.
  3. J.N. Al-Karaki, A.E. Kamal, “Routing techniques in wireless sensor networks: a survey”, IEEE Wireless Communications, 2004.
  4. S. Gajjar, M. Sarkar and K. S. Dasgupta, “Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networks”, International Journal of Computer Applications, 38-43,2014.
  5. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks”, System Sciences. In Proceedings of the 33rd annual Hawaii international conference, pp. 4–7, 2000.
  6. O. Younis, S. Fahmy, “Heed: a hybrid, energy- efficient distributed clustering approach for Ad hoc sensor networks,” IEEE Trans on mobile computing, 3(4), pp.660-669, 2004.
  7. J. M. Kim, S.H. Park, Y. J. Han, and T.M. Chung, “CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks,” Advanced Communication Technology, ICACT 2008, Vol. 1, pp. 654 –659 2008.
  8. D. Kumar, T. C. Aseri, and R. B. Patel, “EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks”, Computer Communications, 32(4), 662–667, 2009.
  9. P. Saini, A. K. Sharma, “Energy efficient scheme for clustering protocol prolonging the lifetime of heterogeneous wireless sensor networks”, International Journal of Computer Applications, 6(2), 30–36, 2010.
  10. G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: A stable election protocol for clustered heterogeneous wireless sensor networks,” Second International Workshop on Sensor and Actor Network Protocols and Applications, July 2004.
  11. L.Qing, Q. X.Zhu, and M. W.Wang, “A distributed Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks,” Journal of Software, Vol.17, No. 3, pp. 481-489, 2006.
  12. A. Kashaf, N. Javaid, Z. A . Khan, and I. A. Khan, “TSEP: Threshold-sensitive stable election protocol for WSNs”, In 10th international conference on frontiers of information technology (FIT) (Vol.164, no. 168, pp. 17–19) December 2012.
  13. I. Gupta, D. Riordan, S. Sampalli, “Cluster-head election using fuzzy logic for wireless sensor networks”, in Proc. of Annual Communication Networks and Services Research Conference, pp. 255–260, 2005.
  14. J. Anno, L. Barolli, F. Xhafa, and A. Durresi, “A Cluster Head Selection Method for Wireless Sensor Networks Based on Fuzzy Logic”, Proc. of IEEE TENCON, pp. 1-4, 2007.
  15. Y. Shen, H. Ju, “Energy-Efficient Cluster-head Selection based on a fuzzy expert system in wireless sensor networks”, IEEE/ACM International Conference on Green Computing and Communications(GreenCom), Chengdu, China, August 4-5, 2011.
  16. H. Natarajan and S. Selvaraj,“A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks”, Proceeding of the 8th International Conference on Sensing Technology, Sep. 2-4, Liverpool, UK,2014.
  17. J S R Jang, C T Sun and E Mizutani, “Neuro-fuzzy and soft computing A Computational approach to learning and machine intelligence”, Prentice Hall Publications, 2003.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks clustering threshold sensitive stable election protocol fuzzy logic.

Powered by PhDFocusTM