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Reseach Article

Routing and Dynamic Spectrum Allocation for Cognitive Radio Networks

Published on October 2013 by Pradeep
National Conference on Recent Trends in Computer Applications
Foundation of Computer Science USA
NCRTCA - Number 1
October 2013
Authors: Pradeep
cdb6bc26-e8bd-4b12-a5bf-fe54869df132

Pradeep . Routing and Dynamic Spectrum Allocation for Cognitive Radio Networks. National Conference on Recent Trends in Computer Applications. NCRTCA, 1 (October 2013), 43-47.

@article{
author = { Pradeep },
title = { Routing and Dynamic Spectrum Allocation for Cognitive Radio Networks },
journal = { National Conference on Recent Trends in Computer Applications },
issue_date = { October 2013 },
volume = { NCRTCA },
number = { 1 },
month = { October },
year = { 2013 },
issn = 0975-8887,
pages = { 43-47 },
numpages = 5,
url = { /proceedings/ncrtca/number1/13640-1313/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Applications
%A Pradeep
%T Routing and Dynamic Spectrum Allocation for Cognitive Radio Networks
%J National Conference on Recent Trends in Computer Applications
%@ 0975-8887
%V NCRTCA
%N 1
%P 43-47
%D 2013
%I International Journal of Computer Applications
Abstract

Cognitive Radio Networks (CRNs) are mainly used for path selection due to the added advantage of dynamic spectrum utilization when the frequency band is not under utilization. Path selection in multi-hop cognitive radio networks is done using dynamic spectrum allocation. We show that the overall throughput and the packet drop ratio determined by the proposed route selection strategy are better than the existing methods or strategies. The main aim behind our approach is to guarantee that the link failure is minimized and throughput is maximized. A polynomial time algorithm is designed for this problem and evaluated using Network Simulator for computation of simulation results. The results show that our proposed algorithm achieves a near optimal solution of this problem for multi-hop CRNs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio Dynamic Spectrumallocation Primary Users Secondary Users Spectrum Hole Spectrum Pooling Weighted Cumulative Expected Transmission Time(wcett)