• Mar 31, 2016 News!JACN Vol.3, No.3 has been indexed by EI (inspec)!   [Click]
  • Jun 24, 2016 News!JACN Vol.4, No.2 has been published with online version. 15 papres about advances in computer networks are published in this issue.   [Click]
  • Mar 31, 2016 News!JACN Vol.3, No.2 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244
    • Frequency: Quarterly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Department of Mathematics and Information Technology The Hong Kong Institute of Education, Hong Kong
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2016 Vol.4(2): 86-91 ISSN: 1793-8244
DOI: 10.18178/JACN.2016.4.2.209

Cognitive Radio Networking Model Using Intelligent Receptors Based Rewrite Techniques

Chandrasekaran Subramaniam, Arjun M., Sarathy Venkatesh T. J., and Veejay Adeesh
Abstract—The objective of the research work is to propose a cognitive radio networking model using intelligent receptors (IR) based rewrite techniques. The set of special function receptors in the cognitive engine within the radio framework senses the status of the bombarding channels and collects all the relevant details within the system and the outside environment. The proposed IR technique declares and defines a specific control path among number of choices meeting the requirements of the spectrum users and allocator. A formal model for cognitive radio with extended adaptability and control action has been proposed. The computational rule rewriting techniques to decide the best reaction to be taken by the cognitive engine among the prevailing issues like spectrum sharing, leasing and identification of hidden nodes and peak spectrum are used. The work improvises the performance, reliability and cost factors of the software defined network in a cognitive radio framework through receptor modules.

Index Terms—Reactive design, adaptability, cognition, rewrite rules, formal model, intelligent receptors, spectrum users.

Chandrasekaran Subramaniam is with the Easa College of Engineering and Technology, Coimbatore, Anna University, Chennai, India (e-mail: chandrasekaran_s@msn.in).
Arjun M. is with the Coimbatore Institute of Engineering and Technology, Coimbatore, Anna University, Chennai, India (e-mail: arjunmane@outlook.com).
Sarathy Venkatesh T. J. and Veejay Adeesh are with Karpagam College of Engineering, Anna University, Chennai, India (e-mail: sarthytj@outlook.com, veejayadeesh614@gmail.com).

[PDF]

Cite:Chandrasekaran Subramaniam, Arjun M., Sarathy Venkatesh T. J., and Veejay Adeesh, "Cognitive Radio Networking Model Using Intelligent Receptors Based Rewrite Techniques," Journal of Advances in Computer Networks vol. 4, no. 2, pp. 86-91, 2016.

Copyright © 2008-2016. Journal of Advances in Computer Networks.  All rights reserved.
E-mail: jacn@ejournal.net