A comparative simulation study of rate adaptation algorithms in wireless LANs
by Tingpei Huang; Haiming Chen; Li Cui; Zhaoliang Zhang
International Journal of Sensor Networks (IJSNET), Vol. 14, No. 1, 2013

Abstract: Wireless channel condition varies quickly and unpredictably, which is the main reason leading to the low performance of 802.11 wireless local area networks. One effective way to overcome the above problem is rate adaptation, which adaptively selects an appropriate transmission rate according to current channel conditions. A number of rate adaptation algorithms have been proposed in the literatures. However, few of them have been thoroughly evaluated by simulations. It is necessary to conduct a comparative study of these rate adaptation mechanisms, to have a comprehensive view about their impacts on the performance of applications in different channel conditions. In this paper, we perform an extensive comparative simulation study on several well-known rate adaptation algorithms based on ns-3. We quantify their performance for aggregate network throughput in the following two environments: collision-concerned and mobility-concerned. This work is an important step to understand the behaviour of different rate adaptation algorithms.

Online publication date: Tue, 10-Sep-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sensor Networks (IJSNET):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com