Cart (Loading....) | Create Account
Close category search window

Intelligent Data Acquisition and Processing Using Wavelet Neural-Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kulakov, A. ; Comput. Sci. Dept., Univ. Sts Cyril & Methodius, Skopje ; Davcev, D.

Most of the problems for data management in today's wireless sensor networks were already dealt with during the past thirty years of the artificial neural-networks tradition and that kind of algorithms can be easily implemented to wireless sensor network platforms. These problems include the need for simple parallel distributed computation, possibility for distributed storage, fault-tolerance and in some cases the possibility of auto-classification of sensor readings. We will present data acquisition through hierarchical two-level architecture with algorithms which will use wavelets for initial data-processing of the sensory inputs and neural-networks which use unsupervised learning for categorization of the sensory inputs. They are tested on a data obtained from a set of 4 motes, equipped with seven sensors each.

Published in:

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE

Date of Conference:

5-7 Sept. 2005

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.