Future of Information and Communication Conference (FICC) 2021
29-30 April 2021
Publication Links
IJACSA
Special Issues
Article Details
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
A Neural Approach for Reliable and Fault Tolerant Wireless Sensor Networks
Digital Object Identifier (DOI) : 10.14569/IJACSA.2011.020519
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 5, 2011.
Abstract: This paper presents a neural model for reliable and fault tolerant transmission in Wireless Sensor Networks based on Bi-directional Associative Memory. The proposed model is an attempt to enhance the performances of both the cooperative and non cooperative Automatic Repeat Request (ARQ) schemes in terms of reliability and fault tolerance. We have also demonstrated the performances of both the schemes with the help of suitable examples.
Keywords: Reliability; Fault tolerance; Bi-directional Associative Memory; Wireless Sensor Network
Vijay Kumar, R. B. Patel, Manpreet Singh and Rohit Vaid, “A Neural Approach for Reliable and Fault Tolerant Wireless Sensor Networks ” International Journal of Advanced Computer Science and Applications(IJACSA), 2(5), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020519
@article{Kumar2011,
title = {A Neural Approach for Reliable and Fault Tolerant Wireless Sensor Networks
},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020519},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020519},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {5},
author = {Vijay Kumar and R. B. Patel and Manpreet Singh and Rohit Vaid}
}
