Open Access   Article Go Back

Intelligence Paradigm comparative study using ANN and fuzzy logic with respect to WSN

Supriya Singh1 , Awadhesh Kumar2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1140-1143, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.11401143

Online published on Jun 30, 2018

Copyright © Supriya Singh, Awadhesh Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Supriya Singh, Awadhesh Kumar, “Intelligence Paradigm comparative study using ANN and fuzzy logic with respect to WSN,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1140-1143, 2018.

MLA Style Citation: Supriya Singh, Awadhesh Kumar "Intelligence Paradigm comparative study using ANN and fuzzy logic with respect to WSN." International Journal of Computer Sciences and Engineering 6.6 (2018): 1140-1143.

APA Style Citation: Supriya Singh, Awadhesh Kumar, (2018). Intelligence Paradigm comparative study using ANN and fuzzy logic with respect to WSN. International Journal of Computer Sciences and Engineering, 6(6), 1140-1143.

BibTex Style Citation:
@article{Singh_2018,
author = {Supriya Singh, Awadhesh Kumar},
title = {Intelligence Paradigm comparative study using ANN and fuzzy logic with respect to WSN},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1140-1143},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2316},
doi = {https://doi.org/10.26438/ijcse/v6i6.11401143}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.11401143}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2316
TI - Intelligence Paradigm comparative study using ANN and fuzzy logic with respect to WSN
T2 - International Journal of Computer Sciences and Engineering
AU - Supriya Singh, Awadhesh Kumar
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1140-1143
IS - 6
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
355 276 downloads 118 downloads
  
  
           

Abstract

In this paper, a picture of energy awareness and parameters in Intelligence paradigm of ANN and fuzzy logic with respect to WSNs is explained so that ultimate intelligence like the human can be optimized by the hybrid technique which enables the technology to handle issues in a reliable fashion. An intelligent paradigm of ANN and fuzzy logic features shows its authenticity and adaptation of hybrid approach to achieve more optimized and deterministic result.

Key-Words / Index Term

WSNs(Wireless Sensor Networks), ANN(Artificial Neural Network), and Fuzzylogic

References

[1] Ani1 K. Jain, Jianchang Mao K.M. Mohiuddin IBM Almaden Research Center, “Artificial Neural Networks : A TUTORIAL”, IEEE transactions on computer, Vol. 29, No. 3,pp. 31-44, March 1996.
[2] Park, Derrick Takeshi Mirikitani,” Energy Reduction in WSNs through Measurement Estimation with Second Order Recurrent Neural Networks”,3rd International Conference on Networking & Services ,pp.103,June 2007.
[3] Wenhui Zhao, Daxin Liu, Yu Jiang,” Distributed Neural Network Routing Algorithm Based on Global Information of WSN”, International Conference on Communications and Mobile Computing, pp.552-555,March2009.
[4] Neeraj Kumar, Manoj Kumar, R.B. Patel,” Neural Network Based Energy Efficient Clustering and Routing in WSNs”, First International Conference on Networks & Communications, pp. 34- 39,December 2009.
[5] WenTsai sung, yu-feng Liu, Jui-Ho Chen, chia-hao chen,”Enhance the efficient of WSN data fusion by neural networks training process”, International symposium on computer, communication, control and automation ,pp. 373-376,July 2010.
[6] Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, ” Neural Network Based Secure Media Access Control Protocol for WSNs”, proceedings of International Joint Conference on Neural Networks, Atlanta, Georgia, USA, pp 1680-1687, June 2009.
[7] Yu Hu,Xiaorui Shen, Zhenhua Kang,” Energy-Efficient Cluster Head Selection in Clustering Routing for WSN”, 5th International Conference on Wireless Communications, Networking and Mobile Computing ,pp. 1-4,October 2009.
[8] Qingchun Ren and Qilian Liang,” An Energy-Efficient MAC Protocol for WSNs”, IEEE Global telecommunication conference, vol. 1, pp. 5pp, January 2006.
[9] Sudip Misra, Sanchita Roy, Mohammad S. Obaidat, Debashish Mohanta,” A Fuzzy Logic Based Energy Efficient Packet Loss Preventive Routing Protocol”, International Symposium on Performance Evaluation of Computer & Telecommunication Systems, ,SPECTS ,vol. 41,pp 185-192,August 2009.
[10] Timothy black, pubudu n pathirana, saeid nahavandi,” using autonomous mobile agents for efficient data collection in sensor networks”, world automation congress, pp. 1-6, June 2007.
[11] "Computational Intelligence Based Optimization of Energy Aware Routing in WSN" Rabia Iram, Muhammad Irfan Sheikh, Sohail Jabbar, Abid Ali M.
[12] "Fuzzy Logic Based Fault Detection in Distributed Sensor Networks" L. B. Bhajantri, International Journal of Scientific Research in Research Paper . Computer Science and Engineering Vol.6, Issue.2, pp.27-32, April(2018)
[13] "Neural Network through Face Recognition "A.K.Gupta1* , S.Gupta2 International Journal of Scientific Research in Research Paper . Computer Science and Engineering Vol.6, Issue.2, pp.38-40, April (2018)