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4-Tier Neural Network based Model for Reliable

by Mamta Katiyar, H.p.sinha, Dushyant Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 12
Year of Publication: 2014
Authors: Mamta Katiyar, H.p.sinha, Dushyant Gupta
10.5120/18432-9796

Mamta Katiyar, H.p.sinha, Dushyant Gupta . 4-Tier Neural Network based Model for Reliable. International Journal of Computer Applications. 105, 12 ( November 2014), 34-39. DOI=10.5120/18432-9796

@article{ 10.5120/18432-9796,
author = { Mamta Katiyar, H.p.sinha, Dushyant Gupta },
title = { 4-Tier Neural Network based Model for Reliable },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 12 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number12/18432-9796/ },
doi = { 10.5120/18432-9796 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:34.383177+05:30
%A Mamta Katiyar
%A H.p.sinha
%A Dushyant Gupta
%T 4-Tier Neural Network based Model for Reliable
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 12
%P 34-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fault tolerance is one of the attractive inherent features of neural networks. This feature facilitates to retrieve the information of interest despite of corrupted signal in presence of faults in the network. This paper presents a reliable and fault tolerant model for reliable transportation of information in Wireless Sensor Networks. Work presented in this chapter is an attempt to make the senor nodes intelligent enough to deliver the information of interest to the base station despite of the fact that wireless communication medium is noisy and information may be corrupted during transportation. Algorithm supporting the functionality of the proposed model has been analyzed through the example.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ANN BAM NN WSN.

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