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Research

Events

IEEE ISCC 2017 5th International Workshop on Smart City and Ubiquitous Computing Applications (SCUCA 2017), 3 July 2017, Heraklion, Crete, Greece.

News

Mr. Rafay Iqbal Ansari, PhD Candidate, after being selected and invited by the IEEE Communications Society, will participate to the 2017 IEEE ComSoc Summer School to be held in University of New Mexico, Albuquerque, NM, USA, from July 17 to July 20, 2017 [Read more]

Mr. Rafay Iqbal Ansari, PhD Candidate, was nominated by CYNET for the IT Studentsí Lightning Talk Challenge, as part of the GEANT Future Talent Fund (FTF) initiatives, that took place in Linz, Austria, 29 May - 2 June 2017 [Read more]

Our PhD Candidate Rafay Iqbal Ansari, member of the team "SherPak", won the third place in Ericsson Innovation Awards 2016, selected among 843 teams worldwide, with "SmartWindows Communication" project idea [Read more]

Admission to the Ph.D. program in Computer Engineering (Networks concentration) [Read more]

Admission to the Ph.D. program in Computer Science (Networks concentration) [Read more]

Admission to the M.Sc. program in Electrical Engineering (Computer Engineering specialization - Networks concentration) [Read more]

Admission to the M.Sc. program in Web and Smart Systems (Smart Systems concentration) [Read more]

Frederick CISCO Academy CCNA course starts in October 2017 [Read more]

CISCO Networking Academy NetRiders CCNA 20174 Competition [Read more]

Cisco Networking Academy Evolution: New CCNA Routing and Switching course [Read more]

CONGESTION CONTROL IN TCP/IP NETWORKS

TCP/AQM Congestion Control in Best-effort and Diff-Serv IP Networks

Network management and control is a complex problem that requires robust, intelligent, control methodologies to obtain satisfactory performance. Active Queue Management (AQM) mechanisms have been introduced for router support to assist the Transmission Control Protocol (TCP) congestion control to better perform than classical TCP/IP based approaches, which rely on implicit network state feedback. The complex, but challenging, concept of TCP/AQM congestion control, in both best-effort and Differentiated Services (Diff-Serv) environments, forms the basis of this research study.

Significant contribution has been made in formulating an effective and generic Active Queue Management (AQM) control methodology, using fuzzy logic based control, toward the solution of congestion control in TCP/IP networks. Specifically, an efficient and effective fuzzy-based nonlinear control law was derived that offers simplicity, and inherent robustness with effective control of the system under widely differing operating conditions, without the need to (re)tune the controller settings. The derived controller is independent of mathematical models of the controlled system, and can be easily adopted in different network environments (best-effort and Diff-Serv architectures were studied, using the same controller for both). Further, through extensive simulative evaluation of the proposed methodology, it is demonstrated that that fuzzy logic based AQM control methodology better handles the nonlinearities of the TCP/IP networks, in contrast with existing, well-known, conventional counterparts.

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