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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 1/2022

07.03.2022

Optimizing Spectrum Sensing by Using Artificial Neural Network in Cognitive Radio Sensor Networks

verfasst von: S. Esakki Rajavel, T. Aruna, G. Rajakumar, A. Tony Claudia

Erschienen in: Wireless Personal Communications | Ausgabe 1/2022

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Abstract

Resource allocation is most needed in the next generation of Cognitive radio networks these techniques are used to increase the Cognitive radio network’s performance. But, it is difficult to accomplish these techniques in real-time performance wireless. In this paper, a resource allocation technique based on artificial neural networks (ANN) is proposed which helps to reduce the power consumption in the network. The goal of the proposed scheme is to secure data transmission and to increase the uplink and downlink speed with less bit error rate. From the Simulation results, it can be observed that the proposed technique based on ANN is efficient in terms of the computation time related to the other resource allocation techniques. To increase the security of the data transmission in networks Location-based key management system is used. This paper is implemented by NS2.
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Metadaten
Titel
Optimizing Spectrum Sensing by Using Artificial Neural Network in Cognitive Radio Sensor Networks
verfasst von
S. Esakki Rajavel
T. Aruna
G. Rajakumar
A. Tony Claudia
Publikationsdatum
07.03.2022
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2022
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-022-09578-1

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