ADCONET 2014 - Special Session on ADvances in COgnitive NETworks ? Awareness, Adaptation, Intelligence and Learning in Communication Networks and Systems

Incorporation of learning/cognitive capabilities into networks is considered to be a major step towards efficient management of increasing complexity and heterogeneity. The term cognitive networks has a broad meaning and is used here to indicate networks able to sense their context of operation, analyze, reason and plan, make a decision, and act in accordance with the decision reached, while they learn from previous experience. Cognitive networks have the ability to think, learn, remember, and adapt to changing conditions in order to achieve end-to-end goals and objectives (e.g., optimization of the overall network behavior), thus being self-aware. In general, cognitive networks may be formed as a collection of cognitive entities, which incorporate intelligent functionality, have reasoning capabilities, are characterized by autonomy, social ability, learning from experience, and adaptivity, while they interact with other components and act in a reactive/proactive way to accomplish their goals.
The current trends reveal major activity not just in the cognitive radio area, but in other relevant fields towards the integration of different techniques for the realization of completely self-aware and self-adaptive communication systems. This Special Session aims presenting the latest developments and state of the art solutions on the highly contemporary field of Cognitive Networking.
Topics of interest include (not limited to):
Self-adaptive/organizing/managing/aware networks
Autonomous networks
Cooperative networks
Cognitive radio
Spectrum management issues
QoS and QoE provision in cognitive networks
Energy efficiency in cognitive networks
Heterogeneous cognitive networks
MAC protocols for cognitive networks
Routing schemes for cognitive networks
Mobility management in cognitive networks
Resource allocation in cognitive networks
Sensing, reasoning, decision strategies, learning schemes and policies in cognitive networks
Special Session Chairs:
Malamati Louta (Assistant Professor at the University of Western Macedonia)
Panagiotis Sarigiannidis (Lecturer at the University of Western Macedonia)
Thomas Lagkas (Lecturer at the University of Sheffield International Faculty, CITY College)
Program Session Committee:
To be announced
Important Dates:
Paper submission: Friday February 28, 2014
Author notification: Monday March 31, 2014
Camera-ready paper submission: Friday April 18, 2014
Contact Information:
Malamati Louta, University of Western Macedonia, School of Engineering, Department of Informatics and Telecommunications Engineering, louta-AT-uowm.gr
Panagiotis Sarigiannidis, University of Western Macedonia, School of Engineering, Department of Informatics and Telecommunications Engineering, psarigiannidis-AT-uowm.gr
Thomas Lagkas, University of Sheffield International Faculty, CITY College, T.Lagkas-AT-sheffield.ac.uk