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

A Fuzzy Approach to Data Aggregation to Reduce Power Consumption in Wireless Sensor 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

5 Author(s)
Lazzerini, B. ; Dipt. di Ingegneria dell ''Informazione, Pisa Univ. ; Marcelloni, F. ; Vecchio, M. ; Croce, S.
more authors

In this paper, we propose a novel distributed approach based on fuzzy numbers and weighted average operators to reduce power consumption in wireless sensor networks when we are interested in the estimation of an aggregated value such as maximum or minimum temperature measured in the network. The basic point of our approach is that each node maintains an estimate of the aggregated value. Based on this estimate, the node decides whether a new value measured by the sensor on board the node or received through a message has to be propagated along the network. We present the application of our approach to the monitoring of the maximum temperature in a two-hundred square meters flat and discuss how the lifetime of the network can be determined through the datasheet of the used mote and the number of received and sent messages

Published in:

Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American

Date of Conference:

3-6 June 2006

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.