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

Development of novel wireless sensor networks and potential optimization via Kalman filtering

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

4 Author(s)
Bhatte, S. ; Coll. of Eng., Southern Univ., Baton Rouge, LA ; Majlesein, H. ; Zhengmao Ye ; Mohamadian, H.

Data aggregation is an important area of wireless sensor networks. The importance of efficient data aggregation in wireless sensor networks is due to the fact of the networks which are volatile and ad hoc in nature. Problems associated include efficient energy consumption and routing techniques. Zone Efficient Localized Data Aggregation (Zelda) Algorithm has been proposed. This algorithm employs the data funneling technique and zonal nodes in order to send information over a wireless sensor network thereby reducing amounts of energy and traffic required. The energy consumption is estimated at the setup phase of the algorithm, which can be compared with data funneling. The results show that the proposed scheme is a better candidate for applications using the pseudo stationary wireless sensor networks. In addition, the Kalman filter and feedback control scheme is proposed for potential optimization of wireless sensor network systems. Wireless sensor networks topology control is proposed using Kalman filters and feedback control schemes as well.

Published in:

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Date of Conference:

25-27 May 2009

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.