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

Adaptive Clustering for Energy Efficient Wireless Sensor Networks Based on Ant Colony Optimization

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

3 Author(s)
Ziyadi, M. ; Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran ; Yasami, K. ; Abolhassani, B.

Summary form only given: Energy supply in wireless sensor networks (WSNs) is limited and non-replenishable, and energy efficiency is the most important feature in designing these networks. One way to reduce the energy consumption of WSNs and hence prolong the lifespan of these networks is to use adaptive clustering algorithms. In this paper, we use Ant Colony Optimization for Clustering (ACO-C) to propose a new energy aware clustering protocol for WSNs. By using appropriate cost functions, implemented at the base station, our algorithm minimizes and distributes the cost of long distance transmissions and data aggregating among all sensor nodes evenly. Simulation results show the effectiveness of our protocol over other well known clustering algorithms in terms of both network lifetime and data delivery to the base station.

Published in:

Communication Networks and Services Research Conference, 2009. CNSR '09. Seventh Annual

Date of Conference:

11-13 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.