Advanced Networking Research Group was formally announced on 24th September 2007 by the Director, Dr. T.R.G. Nair, Research Industry and Incubation centre. Mrs. M. Jayalalitha, Assistant Professor, Department of Telecommunication is heading the group.

The Advanced Networking Research Group conducts research into the design of advanced and novel approaches in the following areas (1) Cognitive Networks, (2) Cognitive Routing, (3) Cognitive Radios, (4) Advanced Processor for Communication Systems.

(1) Cognitive Networks: has attracted increasing attention as an advanced form of future networks that is aware of changes in user needs and its environment, adapts its behavior to those changes, learns from its adaptations, and exploits knowledge to improve its future behavior. Machine learning and reasoning play a key role in fuelling and driving the research of cognitive networks.

(2) Cognitive Routing: In current routers, the transmission of packets is carried out with a collection of router peers where each router has a limited view of the network in real-time, restricted to the output or immediate connection available to an adjacent router. It blindly forwards the message to outgoing links. Cognitive Routing group conducts research incorporating cognition in current routers, which are capable of self-learning, predicting the future behavior and reconfiguring itself. Several learning and prediction algorithms like HMM, fuzzy estimation, neural networks are being experimented to be incorporated in the router as the learning unit of cognitive router. Research in Routing with cognition is in progress.

(3) Cognitive Radios: The cognitive radio is a radio transmitter/receiver that is designed to intelligently detect whether a particular segment of the radio spectrum is currently in use and to jump into (or out of) the temporarily-unused spectrum very rapidly without interfering with the transmissions of other users. Some of the radio’s other cognitive abilities include determining its location, sensing spectrum use by neighboring devices, changing frequency, adjusting output power or even altering transmission parameters and characteristics . The research involves all of these capabilities, and others yet to be realized, that will provide wireless spectrum users with the ability to adapt to real-time spectrum conditions, offering regulators, licensees and the general public flexible, efficient and comprehensive use of the spectrum.

(4) Advanced Processor: Technologies group conducts research into the design of advanced and novel approaches to processing and computation. Current projects focus on asynchronous technology and tools, novel on-chip multiprocessor architectures exploiting lightweight thread mechanisms, and hardware support for large-scale neural systems.

T.R.G.Nair, Jayalalitha, Abhijit, “Cognitive Routing with Stretched Network Awareness through Hidden Markov model Learning at Router Level” IEEE WCCI 2008 Workshop-W1” on “ Machine Learning in Cognitive Networks: Theory Applications and Future” on 8th June 2008, Hong Kong.

• N.R. Shashi Kumar , R. Selvarani , Pushpavathi N R – “GPRS based Intranet Remote Administration[GIRA]” Journal of Research & Industry, ISSN Volume 1 Issue 1 September 2008
• T.P. Pushpavathi, RSelvarani – “GPRS based Video Surveillance System [GVSS] Journal of Research & Industry, Volume 1 Issue 1, ISSN September 2008.

"Novel Device Design for message routing with cognition based on forward channel performance index based learning and learning embedded in router".

Inventor: T.R.Gopalakrishnan Nair, M.Tech., Ph.D.