By Topic

A Distributed Channel Assignment Algorithm for Uncoordinated WLANs

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)
Xiaonan Yue ; Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China ; Chi-Fai Wong ; Chan, S.-H.G.

IEEE 802.11 WLANs are becoming more and more popular in homes and urban areas. As opposed to traditional WLANs, the access points (APs) in these networks are often deployed by network non-specialists in an uncoordinated manner, leading to unplanned topology, interference and unsatisfactory throughput performance. We consider in this paper a distributed channel assignment algorithm for uncoordinated WLANs, where APs can selfconfigure their operating channels to minimize interference. We propose an efficient, simple and distributed algorithm termed CACAO (client-assisted channel assignment optimization). In CACAO, an AP makes use of the traffic information fed back by its clients to make channel assignment decision. This leads to better knowledge on network environment and better channel assignment decision at the APs. We conduct extensive simulation study and comparisons using network simulator 2 (NS2). Our results show that CACAO out-performs other traditional and recent schemes in terms of throughput with similar level of fairness. Furthermore, it converges quite fast to reduce interference to a low level.

Published in:

Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE

Date of Conference:

9-12 Jan. 2010