An adaptable transport protocol based on Genetic Algorithms
by Sheng-Uei Guan, Chek Liang Dominic Boh, Fei Liu
International Journal of Information and Communication Technology (IJICT), Vol. 1, No. 2, 2008

Abstract: In this paper, we present an adaptable protocol, Genetic Algorithm Transport Protocol (GATP) based on Genetic Algorithms (GAs), which evolves and adapts to the network environment to achieve best-effort user-configurable Quality of Services (QoS). The networking environment is an evolutionary playground for data packets that are evolved using a fitness level of QoS achievement. Different fitness functions of weighted, single objectives, and finally multi-objectives are applied to understand the network problem. Experiments are conducted to provide the performance analysis of GATP in an actual network environment. Experimental results also show how this proposed protocol compares with Transmission Control Protocol (TCP) and User Datagram Protocol (UDP).

Online publication date: Sat, 28-Jun-2008

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 Information and Communication Technology (IJICT):
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