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3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Adaptive Network Layer for Cognitive Radio Networks

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562533,
        author={Muthukumaran Pitchiamani and Deepak Jeyaraman and Joseph Evans},
        title={Adaptive Network Layer for Cognitive Radio Networks},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={7},
        keywords={Cognitive radios cognitive radio networks adaptive networking},
        doi={10.1109/CROWNCOM.2008.4562533}
    }
    
  • Muthukumaran Pitchiamani
    Deepak Jeyaraman
    Joseph Evans
    Year: 2008
    Adaptive Network Layer for Cognitive Radio Networks
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562533
Muthukumaran Pitchiamani1,*, Deepak Jeyaraman2, Joseph Evans2,*
  • 1: Information and Telecommunication Technology Center University of Kansas Lawrence, KS 66045 USAInformation and Telecommunication Technology Center University of Kansas Lawrence, KS 66045 USA
  • 2: Information and Telecommunication Technology Center University of Kansas Lawrence, KS 66045 USA
*Contact email: muthu@ku.edu, evans@ittc.ku.edu

Abstract

Cognitive radios present unique challenges in the design of a suitable network layer for networks formed by these devices. The network layer must be robust, adaptive and dynamic to meet these challenges by allowing the cognitive functionality further into the protocol stack. In this paper we outline a model for dynamic adaptation using two candidate classes of network layers and describe its various components. We evaluate aspects of the feasibility of the approach using simulation based studies

Keywords
Cognitive radios cognitive radio networks adaptive networking
Published
2008-07-15
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.1109/CROWNCOM.2008.4562533
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