Authors: Kolluru Suresh Babu; Srikanth Vemuru
Addresses: Department of CSE, KL University, Vaddeswaram, Vijayawada, India ' Department of CSE, KL University, Vaddeswaram, Vijayawada, India
Abstract: Cognitive radio framework (CRF) has an endless number of possibilities. Routing, secondary user selection, and path optimisation is a part of the CRF. The routing part involves route discovery mechanism and route establishment. There are several cases when the packet frame has to wait at the transmitter end due to unavailability of the other transmitting node. This paper focuses on the development of a secure routing and secondary node selection in case of distortion in CRF. The proposed algorithm utilises machine learning (ML) for secondary user selection and to find the distortion in the CRF. The evaluation has been done on the base of throughput and energy consumed in order to transfer the data from one end to another.
Keywords: cognitive radio framework; CRF; alteration; machine learning; radio association; routing method.
International Journal of Advanced Intelligence Paradigms, 2021 Vol.19 No.2, pp.185 - 193
Received: 29 May 2018
Accepted: 18 Jun 2018
Published online: 14 May 2021 *