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

Performance Evaluation of Adaptive Backoff Algorithms in Ad Hoc 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

3 Author(s)
Zhalehpour, S. ; Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran ; Shahhoseini, H.S. ; Zhalehpour, S.

In this paper, the performance of traffic based adaptive (TBA) and size based adaptive (SBA) backoff algorithms for IEEE 802.11 DCF has been evaluated. TBA backoff algorithm utilizes contention status in the channel for adjusting the backoff algorithm but SBA backoff algorithm assigns different priority levels based on packet size to traffic loads which is involved with best effort and real time traffic. Meanwhile, TBA and SBA backoff algorithms are implemented in the mobile ad-hoc network (MANET), which is a collection of mobile independent nodes. Because of dynamic topology, IEEE 802.11 DCF backoff algorithm suffers from a lack of adequate performance in MANETs. Quality of service (QoS) requirements such as throughput, end to end delay and jitter were enhanced by applying TBA and SBA backoff algorithm in the MAC layer.

Published in:

Computer Technology and Development, 2009. ICCTD '09. International Conference on  (Volume:1 )

Date of Conference:

13-15 Nov. 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.