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A Novel Power Efficient Clustering Technique with a Fault Tolerance Mechanism based on Type -2 Fuzzy Logic, in a Multi-hop WSN

by Preeti Saroj, Sanjay Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 5
Year of Publication: 2018
Authors: Preeti Saroj, Sanjay Kumar
10.5120/ijca2018917514

Preeti Saroj, Sanjay Kumar . A Novel Power Efficient Clustering Technique with a Fault Tolerance Mechanism based on Type -2 Fuzzy Logic, in a Multi-hop WSN. International Journal of Computer Applications. 181, 5 ( Jul 2018), 5-9. DOI=10.5120/ijca2018917514

@article{ 10.5120/ijca2018917514,
author = { Preeti Saroj, Sanjay Kumar },
title = { A Novel Power Efficient Clustering Technique with a Fault Tolerance Mechanism based on Type -2 Fuzzy Logic, in a Multi-hop WSN },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 181 },
number = { 5 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number5/29710-2018917514/ },
doi = { 10.5120/ijca2018917514 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:05:04.479416+05:30
%A Preeti Saroj
%A Sanjay Kumar
%T A Novel Power Efficient Clustering Technique with a Fault Tolerance Mechanism based on Type -2 Fuzzy Logic, in a Multi-hop WSN
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 5
%P 5-9
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main concern of this research paper is to improve lifetime and energy efficiency in wireless sensor network. There is a problem statement that when we increase the network lifetime by using type-2 fuzzy logic for selection scheme of cluster head. After the CH fails, there are problem in existing scheme is chained transmission of data packets and CH dependency on each other for transmission of data. Thus, when one sensor node fails, the whole sensor network will die. In this paper, to observe the problem we use fault tolerance schema. In starting of each round CH receives acknowledged packet if in a preset time slot this packet is not receiving than a fault alleged to occur at the CH.

References
  1. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energyefficient communication protocol for wireless microsensor networks,” in Proc. 33rd Hawaii Int. Conf. Syst. Sci. (HICSS), Washington, DC, USA, Jan. 2000, pp. 1–10.
  2. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Trans. Wireless Commun., vol. 1, no. 4, pp. 660–670, Oct. 2002.
  3. S. Lindsey and C. S. Raghabendra, “PEGASIS: Power efficient gathering in sensor information systems,” in Proc. IEEE Aerosp. Conf., Mar. 2002, pp. 3-1125–3-1130.
  4. I. Gupta, D. Riordan, and S. Sampalli, “Cluster-head election using fuzzy logic for wireless sensor networks,” in Proc. Commun. Netw. Services Res. Conf., May 2005, pp. 255 260.
  5. J.-M. Kim, S.-H. Park, Y.-J. Han, and T. Chung, “CHEF: Cluster head election mechanism using fuzzy logic in wireless sensor networks,” in Proc. ICACT, Feb. 2008, pp. 654–659..
  6. A. Alkesh, A. K. Singh, and N. Purohit, “A moving base station strategy using fuzzy logic for lifetime enhancement in wireless sensor network,” in Proc. Int. Conf. Commun. Syst. Netw. Technol., Jun. 2011, pp. 198–202.
  7. H. Taheri, P. Neamatollahi, O. M. Younis, S. Naghibzadeh, and M. H. Yaghmaee, “An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic,” Ad Hoc Netw., vol. 10, no. 7, pp. 1469–1481, 2012.
  8. T. Sharma and B. Kumar, “F-MCHEL: Fuzzy based master cluster head election leach protocol in wireless sensor network,” Int. J. Comput. Sci. Telecommun., vol. 3, no. 10, pp. 8–13, Oct. 2012.
  9. Izadi, D., Abawajy, J. and Ghanavati, S. (2013). A new energy efficient cluster-head and backup selection scheme in WSN. 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI).
  10. Saber AMRI, Med Lassaad KADDACHI, Abdelbasset TRAD (2014) Energy-Efficient Multi-hop Hierarchical Routing Protocol using Fuzzy Logic (EMHR-FL) for WSN. 978-1-4799-3351-8/14/$31.00 ©2014 IEEE.
  11. Hassan EL ALAMI, Abdellah NAJID (2016) Energy-Efficient Fuzzy Logic Cluster Head selection in Wireless Sensor Networks. 978-1-4673-7689-1/16/$31.00 ©2016 IEEE.
  12. Padmalaya Nayak, Bhavani Vathasavai (2017) Energy efficency clustering algorithm for multi-hop wireless sensor network using type-2 fuzzy logic. IEEE sensor journal VOL.17,NO.14,JULY 15,2017.
  13. Z. W. Siew, C. F. Liau, A. Kiring, M. S. Arifianto, and K. T. K. Teo, “Fuzzy logic based cluster head election for wireless sensor network,” in Proc. 3rd CUTSE Int. Conf., Miri, Malaysia, Nov. 2011, pp. 301–306.
  14. V. Nehra, R. Pal, and A. K. Sharma, “Fuzzy-based leader selection for topology controlled PEGASIS protocol for lifetime enhancement in wireless sensor network,” Int. J. Comput. Technol., vol. 4, no. 3, pp. 755–764, Mar./Apr. 2013.
  15. G. Ran, H. Zhang, and S. Gong, “Improving on LEACH protocol of wireless sensor networks using fuzzy logic,” J. Inf. Comput. Sci., vol. 7, no. 3, pp. 767–775, 2010.
  16. H. Ando, L. Barolli, A. Durresi, F. Xhafa, and A. Koyama, “An intelligent fuzzy-based cluster head selection system for WSNs and its performance evaluation for D3N parameter,” in Proc. Int. Conf. Broadband, Wireless Comput., Commun. Appl., Nov. 2010, pp. 648–653.
  17. Animesh Shrivastava and Singh Rajawat,” An Implementation of Hybrid Genetic Algorithm for Clustering based Data for Web Recommendation System,”International journal of computer science and engineering, Volume-2, Issue -4, April 2014.
  18. Z. Arabi, “HERF: A hybrid energy efficient routing using a fuzzy method in wireless sensor networks,” in Proc. Int. Conf. Intell. Adv. Syst. (ICIAS), Jun. 2010, pp. 1–6.
  19. E. H. Mamdani and S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller,” Int. J. Man-Mach. Stud., vol. 7, no. 1, pp. 1–13, 1975.
  20. K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad Hoc Netw., vol. 3, no. 3, pp. 325–349, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Energy efficiency fuzzy type-2 fault tolerance WSN

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