Performance Evolution Of CR-AD HOC Network by Updated Joint Cooperative Spectrum Sensing Technique

Authors(2) :-Komal Shinde, Prof. Jyoti S.Hatte Patil

Cognitive radio (CR) is an intelligent radio, which has been targeted to exploit the utmost available spectrum holes for unlicensed users by sensing the environment. A selfish cognitive radio node can occupy all or part of the resources of multiple channels, prohibiting other cognitive radio nodes from accessing these resources. Selfish cognitive radio attacks deals with serious security problem like fake signal attack, Channel pre-occupation attack. These security problems they significantly degrade the performance of a cognitive radio network. The proposed work provides selfish cognitive radio attack detection technique, called UJCSST, which will detect the attacks of selfish Secondary Users by the cooperation of other legitimate neighboring SUs. The UJCSST algorithm makes use of the autonomous decision capability of an ad-hoc communication network based on exchanged channel allocation information among neighboring SUs. This technique is simple and reliable and can be well fitted for practical work in future work.

Authors and Affiliations

Komal Shinde
E &TC Department, M. S. Bidave Engineering College, Latur, Maharashtra, India
Prof. Jyoti S.Hatte Patil
E &TC Department, M. S. Bidave Engineering College, Latur, Maharashtra, India

Cognitive radio, UJCSST, Primary Users(PU),Selfish secondary user(SSU),Secondary Users (SUs)

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 428-435
Manuscript Number : IJSRST1733152
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Komal Shinde, Prof. Jyoti S.Hatte Patil, " Performance Evolution Of CR-AD HOC Network by Updated Joint Cooperative Spectrum Sensing Technique ", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 3, pp.428-435, March-April-2017.
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