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

An adaptive QoS and energy-aware routing algorithm for 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

4 Author(s)
Shanghong Peng ; Sch. of Eng., Univ. of Guelph, Guelph, ON ; Yang, Simon X. ; Gregori, S. ; Fengchun Tian

As wireless sensor networks (WSNs) increasingly attract more attention, new ideas for specific applications are continually being developed, many of which involve the energy consumption of nodes. However, not much has been done to optimize the quality of services (QoS) of WSNs. Many applications like target tracking require some QoS guarantees. Besides, certain factors limit the ability of multi-hop sensor networks to achieve desired goals such as the delay caused by network congestion, limited energy and computation of sensor nodes, packet loss due to interferences and mobility. In this paper, an adaptive QoS and energy-aware routing approach is proposed using an improved ant colony algorithm for WSNs to not only meet QoS requirements in an energy-aware fashion, but also balance the node energy utilization to maximize the network lifetime. Extensive simulation results under various experimental settings demonstrated the effectiveness of the proposed algorithm in terms of packet delivery rate, load balance, and the delay in comparison to the existing state-of-the-art directed diffusion routing algorithm.

Published in:

Information and Automation, 2008. ICIA 2008. International Conference on

Date of Conference:

20-23 June 2008

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.