Reference : Improving TCP in wireless networks with an adaptive machine-learnt classifier of pack...
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/3432
Improving TCP in wireless networks with an adaptive machine-learnt classifier of packet loss causes
English
El Khayat, Ibtissam [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques > > > > >]
Geurts, Pierre mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Leduc, Guy mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques >]
May-2005
Lecture Notes in Computer Science
Springer-Verlag Berlin
3462
Networking 2005: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
549-560
Yes
No
International
0302-9743
Berlin
IFIP Networking 2005
2-6 May 2005
Waterloo
Canada
[en] TCP ; Machine Learning ; Wireless Networks
[en] TCP understands all packet losses as buffer overflows and reacts to such congestions by reducing its rate. In hybrid wired/wireless networks where a non negligible number of packet losses are due to link errors, TCP is unable to sustain a reasonable rate. In this paper, we propose to extend TCP Newreno with a packet loss classifier built by a supervised learning algorithm called 'decision tree boosting'. The learning set of the classifier is a database of 25,000 packet loss events in a thousand of random topologies. Since a limited percentage of wrong classifications of congestions as link errors is allowed to preserve TCP-Friendliness, our protocol computes this constraint dynamically and tunes a parameter of the classifier accordingly to maximise the TCP rate. Our classifier outperforms the Veno and Westwood classifiers by achieving a higher rate in wireless networks while remaining TCP-Friendly.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
PAI MOTION
Researchers
http://hdl.handle.net/2268/3432
10.1007/11422778_44

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