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Pursuit of Network Security Based Data Bucking by CSS in Cognitive Radio Network

Author(s):

Elanagai G , AVC College of Engineering

Keywords:

Data Bucking, Collaborative Spectrum Sensing, Cognitive Radio Network, Energy Consumption

Abstract

Collaborative Spectrum Sensing (CSS) can be used to improve the Utilization of Spectrum holes efficiently. In CSS, there are many energy efficient traditional methods are there but it doesn't bother about Network security. Hence we proposed an Energy Efficient Collaborative Spectrum Sensing (EECSS) Protocol based on Trust and Reputation Management (TRM) Unit to combat malicious behavior. TRM unit calculates Trust value for each Secondary user's (SU’s) and find out and drops them from the network. By this way we prove that network security is enabled in our model. Energy Consumption is the major problem in Traditional CSS method, due to more number of sensing reports exchanged. In our proposed method we are using Data Fusion scheme to reduce total number of sensing reports exchanged between secondary user's base station and SU’s i.e. energy consumption was reduced. The result shows that energy consumption was drastically reduced after dropping of attackers.

Other Details

Paper ID: IJSRDV6I40242
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 167-168

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