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
An Efficient Restoration Method for the Faint Dot Matrix Images

Ao Zhu Peng Cao
Random Articles
Reseach Article

Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networks

by Sachin Gajjar, Mohanchur Sarkar, Kankar Dasgupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 7
Year of Publication: 2014
Authors: Sachin Gajjar, Mohanchur Sarkar, Kankar Dasgupta
10.5120/17022-7310

Sachin Gajjar, Mohanchur Sarkar, Kankar Dasgupta . Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networks. International Journal of Computer Applications. 97, 7 ( July 2014), 38-43. DOI=10.5120/17022-7310

@article{ 10.5120/17022-7310,
author = { Sachin Gajjar, Mohanchur Sarkar, Kankar Dasgupta },
title = { Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 7 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number7/17022-7310/ },
doi = { 10.5120/17022-7310 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:31.377335+05:30
%A Sachin Gajjar
%A Mohanchur Sarkar
%A Kankar Dasgupta
%T Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 7
%P 38-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent trends in field of wireless networks is setting up Wireless Sensor Networks that, senses specified parameter(s) related to environment; processes sensed data and wirelessly communicates it to a base station. Such networks open up a whole new range of applications, including precision agriculture, monitoring and tracking vehicles, animals and humans, battle-field surveillance, civil structural monitoring etc. All these applications require extended network lifetime, scalability, and traffic balancing among nodes in the network. Clustering is one of the effectual techniques for achieving these requirements. In clustering, geographically adjacent nodes are organized into virtual groups called clusters. One of the cluster node acts as a cluster head and rest as cluster members. This paper presents Cluster Head selection protocol using Fuzzy Logic (CHUFL). It uses node's parameters like: residual energy, reachability from its neighborhood, quality of communication link with its neighborhood and distance from base station as fuzzy input variables for cluster head selection. A comparative analysis of CHUFL with cluster head selection mechanism using fuzzy logic by Indranil et. al. ; Cluster Head Election mechanism using Fuzzy logic (CHEF) by Kim et. al. and cluster head selection method for wireless sensor networks based on fuzzy logic by J. Anno et. al. shows that CHUFL is up to 20 % more energy efficient and sends 72% more packets to base station compared to protocol by J. Anno et. al. , one of the energy efficient clustering protocol.

References
  1. Sachin Gajjar, Nilav Choksi, Mohanchur Sarkar, and Kankar Dasgupta, "Comparative analysis of Wireless Sensor Network motes", Proc. of International Conference on Signal Processing and Integrated Networks, pp. 426 – 431, 2014.
  2. S. H. Gajjar, S. N. Pradhan, and K. S. Dasgupta, "Wireless Sensor Networks: Application led research perspective", Proc. of IEEE Recent Advances in Intelligent Computational Systems, pp. 025 – 030, 2011.
  3. Raghavendra V. Kulkarni, Anna Forster, and Ganesh Kumar Venayagamoorthy, "Computational Intelligence in Wireless Sensor Networks: A Survey," IEEE Communications Surveys and Tutorials, vol. 13, no. 1, pp. 68-96, 2011.
  4. Zadeh L. A. ,"Is there a need for fuzzy logic?", Proc. of Annual Meeting of North American on Fuzzy Information Processing Society, pp. 1–3, 2008.
  5. L. Chou and L. Gen-Chung, "Location management using fuzzy logic control for wireless networks", Proc. of International Conferences on Info-tech and Info-net, pp. 339 - 344, 2001.
  6. S. Y. Chiang and J. L. Wang, "Routing analysis using fuzzy logic systems in wireless sensor networks", Proc. of In Knowledge-Based Intelligent Information and Engineering Systems, pp. 966-973, 2008.
  7. Q. Liang and L. Wang, "Event detection in wireless sensor networks using fuzzy logic system", Proc. of IEEE International Conference in Computational Intelligence for Homeland Security and Personal Safety, pp. 52-55, 2005.
  8. H. Lee and T. Cho, "Fuzzy logic based key disseminating in ubiquitous sensor networks", Proc. of 10th International Conference on Advanced Communication Technology, pp. 958-962, 2008.
  9. F. Xia, W. Zhao, Y. Sun, and Y. C. Tian, "Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks", Journal of Sensors, vol. 7, no. 12, pp. 3179-3191, 2007.
  10. Sachin Gajjar, Mohanchur Sarkar, and Kankar Dasgupta,"Performance Analysis of Clustering Protocols for Wireless Sensor Networks", International Journal of Electronics and Communication Engineering and Technology, vol. 4, no. 6, pp. 107-116, 2013.
  11. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An Application Specific Protocol Architecture for Wireless Microsensor Networks", IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, 2002.
  12. L. Buttyan and P. Schaffer, "Panel: Position-based aggregator node election in wireless sensor networks", Proc. of IEEE International Conference on Mobile Ad hoc and Sensor Systems, pp. 1–9, 2007.
  13. Chan H. and Perrig A. "ACE: An Emergent Algorithm for Highly Uniform Cluster Formation", Proc. of 1st European Workshop on Sensor Networks, pp. 154–171, 2004.
  14. Murugunathan, S. D. , Ma, D. C. F. , Bhasin, R. I. , and Fapajuwo, A. O. , "A Centralized Energy-Efficient Routing Protocol for Wireless Sensor Networks", Proc. of IEEE Radio Communication, pp. 8–13, 2005.
  15. 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.
  16. 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", Proc. of International Conference on Advanced Communication Technology, pp. 654–659, 2008.
  17. 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.
  18. T. S. Rappaport,"Wireless Communications: Principles and Practice", 2nd Edition, Prentice Hall Publications, Englewood Cliffs, NJ, 2001.
  19. 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.
  20. IEEE Standard 802. 15. 4,"Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications for low-rate wireless personal area networks (WPANS)", [Online] Available: http://standards. ieee. org/develop/ project/ 802. 11. 15. 4. html.
  21. Texas Instruments, CC2500 datasheet [Online] Available: http: //focus. ti. com/lit/ds/symlink/cc2500
  22. R. K. Ahuja, T. L. Magnanti, and J. B. Orlin, "Network Flows: Theory, Algorithms, and Applications", Prentice Hall Publications, Englewood Cliffs, NJ, 1993.
  23. MathWorks Documentation Center [Online Available] http://www. mathworks. in/help/matlab/
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks clustering cluster head selection fuzzy logic

Powered by PhDFocusTM