Analysis of Type-2 Fuzzy Systems for WSN: A Survey

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 243)

Abstract

Lifetime enhancement has always been a crucial issue in the field of wireless sensor networks (WSNs). In the recent past, a number of issues related to WSNs have been addressed through fuzzy-based algorithms. Fuzzy-based algorithms have shown their potential in data fusion, clustering, and energy-efficient routing. In this survey, we have presented the performances of type-2 fuzzy-based algorithms for solving the various issues of WSNs.

Keywords

Membership function Fuzzy logic system Type-2 fuzzy logic system Wireless sensor network 

References

  1. 1.
    Li, Y., Ding, L., Liu, F.: The improvement of LEACH protocol in WSN. In: International Conference on Computer Science and Network Technology (ICCSNT 2011), vol. 2, pp. 1345–1348, 24–26 Dec 2011Google Scholar
  2. 2.
    Alkesh, A.; Singh, A.K., Purohit, N.: A moving base station strategy using fuzzy logic for lifetime enhancement in wireless sensor network. Communication Systems and Network Technologies (CSNT) (2011)Google Scholar
  3. 3.
    Gupta, I., Riordan, D., Sampalli, SW.: Cluster-head election using fuzzy logic for wireless sensor networks. In: Proceedings of the 3rd Annual Communication Networks and Services Research Conference, pp. 255–260, 16–18 May 2005Google Scholar
  4. 4.
    Chong, C.Y., Kumar, S.P.: Sensor networks: Evolution, opportunities, and challenges. Proc. IEEE 91, 1247–1256 (2003)Google Scholar
  5. 5.
    Mendel, M.: Fuzzy logic systems for engineering: A tutorial. Proc. IEEE 83, 345–377 (1995)CrossRefGoogle Scholar
  6. 6.
    Mendel, J.M., John, R.I., Liu, F.: Interval type-2 fuzzy logic systems made simple. IEEE Trans. Fuzzy Syst. 14(6), 808–821 (2006). doi: 10.1109/TFUZZ.2006.879986 CrossRefGoogle Scholar
  7. 7.
    Shu, H., Liang, Q., Gao, J.: Wireless sensor network lifetime analysis using interval type-2 fuzzy logic systems. IEEE Trans. Fuzzy Syst. 16(2), 416–427 (2008)CrossRefGoogle Scholar
  8. 8.
    Liang, Q., Mendel, J.M.: Interval type-2 fuzzy logic systems: Theory and design. IEEE Trans Fuzzy Syst. 8(5), 535–550 (2000). doi: 10.1109/91.873577 CrossRefGoogle Scholar
  9. 9.
    Ya-jing, Z., Yi, J., Liu, D.: Summary of the optimal computation of type-2 fuzzy logic system. In: Proceedings of International Conference on Systems and Informatics (ICSAI 2012), pp. 749–753Google Scholar
  10. 10.
    Liang, Q., Wang, L.: Sensed signal strength forecasting for wireless sensors using interval type-2 fuzzy logic system. In: 14th IEEE International Conference on Fuzzy Systems (FUZZ ’05), pp. 25–30, 22–25 May 2005Google Scholar
  11. 11.
    Own, C.M.: On the type-2 fuzzy thresholding protocol for event-driven wireless sensor networks. In: IEEE International Conference on Fuzzy Systems (FUZZ 2011), pp. 352–355, 27–30 June 2011Google Scholar
  12. 12.
    Blaho, M., Urban, M., Fodrek, P., Foltin, M.: Wireless network effect on PI and type-2 fuzzy logic controller. Proc. Int. J. Commun. 6, 18–25 (2012)Google Scholar

Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Software EngineeringIIITLysakerNorway

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