We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Reliable Data Transportation in Wireless Sensor Networks

by Mamta Katiyar, H. P. Sinha, Dushyant Gupta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 18
Year of Publication: 2013
Authors: Mamta Katiyar, H. P. Sinha, Dushyant Gupta
10.5120/12071-8148

Mamta Katiyar, H. P. Sinha, Dushyant Gupta . Reliable Data Transportation in Wireless Sensor Networks. International Journal of Computer Applications. 69, 18 ( May 2013), 21-24. DOI=10.5120/12071-8148

@article{ 10.5120/12071-8148,
author = { Mamta Katiyar, H. P. Sinha, Dushyant Gupta },
title = { Reliable Data Transportation in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 18 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number18/12071-8148/ },
doi = { 10.5120/12071-8148 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:36.178296+05:30
%A Mamta Katiyar
%A H. P. Sinha
%A Dushyant Gupta
%T Reliable Data Transportation in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 18
%P 21-24
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A wireless sensor network (WSN) consists of sensor nodes and base stations which are connected via wireless medium. A key functionality of WSNs consists in collecting information from sensor nodes & transporting the information of interest to the base stations required by the applications. Wireless connectivity, size and low cost of sensors in WSNs are its advantages which enable it to be deployed in hostile or inaccessible environments at a very low cost. However, WSNs suffer from high data loss due to error prone wireless transmission medium, transmission problems in hostile environments and node failures due to limited energy of sensor nodes. Hence reliable data transportation i. e. ensuring data delivery with minimum loss becomes the key issue in WSNs. The amount of loss tolerated is application dependent. This paper presents an artificial neural network based model for reliable data transportation in Wireless Sensor Networks (WSNs). This work increases the reliability of information transportation despite of corrupted signal sensed at the sensors and thus is an attempt to design a fault tolerant WSN.

References
  1. W. Cai, X. Jin, Y. Zhang, K. Chen, J. Tang, "Research on Reliability Model of Large-Scale Wireless Sensor Networks", in Proceeding of Wireless Communications, Networking and Mobile Computing (WiCOM 2006) pp. 1-4, 2006.
  2. C. F. Chiasserini, M. Garetto, "An analytical model for wireless sensor networks with sleeping nodes", IEEE Trans. Mobile Computing, vol. 5(12), pp. 1706-1718, 2006.
  3. Bernardo, R. Oliveria, R. Tiago, P. Pinto, "A Fire Monitoring Application for Scattered Wireless Sensor Network", in the proceeding of WinSys 2007, on July 28-31, 2007.
  4. C. -Y. Wan, A. T. Campbell, and L. Krishnamurthy, "Psfq: A reliable transport protocol for wireless sensor networks," in Proc. First ACM Intl. Workshop on Wireless Sensor Networks and Applications (WSNA'02), Atlanta, GA, 2002.
  5. R. R. Brooks, P. Ramanathan, and A. M. Sayeed, "Distributed Target Classification and Tracking in Sensor Networks,"Proceedings of the IEEE, vol. 91, no. 8, pp. 1163–1171, Aug. 2003.
  6. F. Zhao, J. Shin, and J. Reich, "Information-driven dynamic sensor collaboration," IEEE Signal Processing Magazine, pp. 61–72, Mar. 2002.
  7. A. Kulakov, D. Davcev, G. Trajkovski, "Application of wavelet neural-networks in wireless sensor networks", Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), pp. 262—267, 2005.
  8. Oldewurtel, Frank, Mahonen, Petri, "Neural Wireless Sensor Networks", International Conference on systems & Networks Communications, ICSNS'06, pp 28-28.
Index Terms

Computer Science
Information Sciences

Keywords

WSN ANN IS PA

Powered by PhDFocusTM