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Neural Network based Power Efficient Decision Making about Natural Hazards using Wireless Sensor Network

Published on May 2012 by P. K. Mishra, Harshit Bhardwaj, Pradeep Rana
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National Conference on Advancement of Technologies – Information Systems and Computer Networks
Foundation of Computer Science USA
ISCON - Number 3
May 2012
Authors: P. K. Mishra, Harshit Bhardwaj, Pradeep Rana
cbcbe8b9-25f6-4862-825b-ccb4e25a4500

P. K. Mishra, Harshit Bhardwaj, Pradeep Rana . Neural Network based Power Efficient Decision Making about Natural Hazards using Wireless Sensor Network. National Conference on Advancement of Technologies – Information Systems and Computer Networks. ISCON, 3 (May 2012), 13-15.

@article{
author = { P. K. Mishra, Harshit Bhardwaj, Pradeep Rana },
title = { Neural Network based Power Efficient Decision Making about Natural Hazards using Wireless Sensor Network },
journal = { National Conference on Advancement of Technologies – Information Systems and Computer Networks },
issue_date = { May 2012 },
volume = { ISCON },
number = { 3 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 13-15 },
numpages = 3,
url = { /proceedings/iscon/number3/6472-1019/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement of Technologies – Information Systems and Computer Networks
%A P. K. Mishra
%A Harshit Bhardwaj
%A Pradeep Rana
%T Neural Network based Power Efficient Decision Making about Natural Hazards using Wireless Sensor Network
%J National Conference on Advancement of Technologies – Information Systems and Computer Networks
%@ 0975-8887
%V ISCON
%N 3
%P 13-15
%D 2012
%I International Journal of Computer Applications
Abstract

'Decision is not the instantaneous process, it is the logical analysis done on Past data. 'WSN is the best system for real time monitoring of natural parameters. For prediction of natural hazards different sensors are employed. Natural hazards can be predicted by supplying the threshold values of the natural parameters. Natural hazard is not due to any one parameter, it is the result of collective result made by all sensors. For making the system self learning for the particular area the BP (Back Propagation) Neural Network algorithm is implemented. This paper will give an energy efficient algorithm for WSN by reducing the redundancy of data transmission.

References
  1. Maneesha V. Ramesh, Sangeeth Kumar, and P. Venkat Rangan "Wireless Sensor Network for Landslide Detection", Amrita School of Engineering
  2. Maneesha V. Ramesh, P. V. Ushakumari "Threshold Based Data Aggregation Algorithm To Detect Rainfall Induced Landslides", Department of Computer Science Department of Mathematics, Amrita School of Engineering Amrita School of Engineering Amrita University
  3. Maneesha V. Ramesh, P. V. Ushakumari "Threshold Based Data Aggregation Algorithm To Detect Rainfall Induced Landslides", Department of Computer Science Department of Mathematics, Amrita School of Engineering Amrita School of Engineering Amrita University
  4. Dr. P K Mishra , SK Shukla , S Dutta, Dr. S K Chaulya, Dr. G M Prasad "Detection of Landslide Using Wireless Sensor Networks" , , URSI Conference 2011
  5. Jamshid Nazari, Okan K. Ersoy „Implementation of back-propagation neural networks with MatLab? TR-EE 92-39 September 92
  6. Carlos Gerhenson „artificial neural networks for beginners?
  7. Zhang Quinhui, Yin Hui „ application research of neural network in zigbee locating system of mine? second international conference on intelligent computation technology and automation 2009
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Back Propagation Algorithm(bp) Neural Network Power Efficient Transmission