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A Performance based Routing Classification in Cognitive Radio Networks

by Sunita S. Barve, Parag Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 19
Year of Publication: 2012
Authors: Sunita S. Barve, Parag Kulkarni
10.5120/6370-8762

Sunita S. Barve, Parag Kulkarni . A Performance based Routing Classification in Cognitive Radio Networks. International Journal of Computer Applications. 44, 19 ( April 2012), 11-21. DOI=10.5120/6370-8762

@article{ 10.5120/6370-8762,
author = { Sunita S. Barve, Parag Kulkarni },
title = { A Performance based Routing Classification in Cognitive Radio Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 19 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number19/6370-8762/ },
doi = { 10.5120/6370-8762 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:58.661040+05:30
%A Sunita S. Barve
%A Parag Kulkarni
%T A Performance based Routing Classification in Cognitive Radio Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 19
%P 11-21
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive Radio Networks (CRN) is offering tremendous performance and operational benefit by providing high bandwidth to mobile users via dynamic spectrum access techniques. In this paper, we address the problem of routing in CRN which concerns about identification and maintenance of the optimal path from source to destination through intermediate relay nodes and spectrum on each link using available common channels. In this survey, the characteristics features and limiting factors of existing routing protocols are thoroughly investigated with its performance evaluation criteria's. First, the overview of the routing with its unique challenges is given under the restriction of interference and fairness to increase overall network throughput. Next, a detailed classification of the routing strategies is given according to performance evaluation matrices which are considered according to specific demand and requirements of network users. A representative selection of these strategies is discussed in detail in this paper together with services given to unique challenges of CRN. Important issues and future directions are also discussed, while highlighting the need of close coupling between interaction of network users and dynamic decision theories

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Network Routing Cognitive Radio Networks (crn) Multi-hop Networks Spectrum Utilization Dynamic Spectrum Utilization

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