TCP Congestion Control Approach for Improving Network Services

Authors:
A. M. Al-Naamany;H. Bourdoucen
Affiliations:
Aff1 Aff2;Electrical and Computer Engineering Department, College of Engineering, Sultan Qaboos University, Al Khod, Oman
Venue:
Journal of Network and Systems Management
Year:
2005

Citing 8
Cited 1

Adaptive fuzzy systems and control: design and stability analysis

Adaptive fuzzy systems and control: design and stability analysis
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
End-to-end internet packet dynamics

IEEE/ACM Transactions on Networking (TON)
End-to-end congestion control for the internet: delays and stability

IEEE/ACM Transactions on Networking (TON)
Intelligent Control: Aspects of Fuzzy Logic and Neural Nets

Intelligent Control: Aspects of Fuzzy Logic and Neural Nets
Network Characterization Service (NCS)

HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
General AIMD Congestion Control

General AIMD Congestion Control
End-to-end congestion control schemes: utility functions, random losses and ECN marks

IEEE/ACM Transactions on Networking (TON)

A Multicast-Enabled Delivery Framework for QoE Assurance of Over-The-Top Services in Multimedia Access Networks

Journal of Network and Systems Management

Quantified Score

Hi-index	0.01

Visualization

Abstract

With the continuous increasing demand of Internet applications, networks are experiencing a serious congestion problem. This affects directly the networks' services and management due to large amounts of data loss and long transmission delays. The present work suggests an improved networking congestion control approach for TCP using fuzzy logic. Its main objective is to use packet drop information to improve network services by optimizing data throughput and smoothing data transfer profiles.