NDLI: Artificial intelligence based cognitive routing for cognitive radio networks

Content Provider	Springer Nature Link
Author	Qadir, Junaid
Copyright Year	2015
Abstract	Cognitive radio networks (CRNs) are networks of nodes equipped with cognitive radios that can optimize performance by adapting to network conditions. Although various routing protocols incorporating varying degrees of adaptiveness and cognition have been proposed for CRNs, these works have mostly been limited by their system-level focus (that emphasizes optimization at the level of an individual cognitive radio system). The vision of CRNs as cognitive networks, however, requires that the research focus progresses from its current system-level fixation to the a network-wide optimization focus. This motivates the development of cognitive routing protocols envisioned as routing protocols that fully and seamlessly incorporate artificial intelligence (AI)-based techniques into their design. In this paper, we provide a self-contained exposition of various decision-theoretic and learning techniques from the field of AI and machine-learning that are relevant to the problem of cognitive routing in CRNs. Apart from providing necessary background, we present for each technique discussed in this paper their application in the context of CRNs in general and for the routing problem in particular. We also highlight challenges associated with these techniques and common pitfalls. Finally, open research issues and future directions of work are identified.
Starting Page	25
Ending Page	96
Page Count	72
File Format	PDF
ISSN	02692821
Journal	Artificial Intelligence Review
Volume Number	45
Issue Number	1
e-ISSN	15737462
Language	English
Publisher	Springer Netherlands
Publisher Date	2015-09-03
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Routing Cognitive networks Artificial intelligence Artificial Intelligence (incl. Robotics) Computer Science
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Linguistics and Language

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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