Deep belief network with FOA-based cooperative spectrum sensing in cognitive radio network. (28th September 2021)

• Record Type: Journal Article
• Authors: Sonti, Siva Reddy; Prasad, Mutchakayala Siva Ganga
• Is Part Of: International journal of communication networks and distributed systems. Volume 27:Number 3(2021)
• Page Start: 323
• Page End: 347
• Publication Date: 2021-09-28
• Subjects: cognitive radio -- CR -- cooperative spectrum sensing -- CSS -- deep belief network -- DBN -- fruit fly optimisation algorithm -- FOA; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

Abstract

The artificial neural network (ANN) is proposed to the cooperative spectrum sensing (CSS) at CR network. ANN has the drawback that the training of ANN with many hidden layers on large amount of data can affect the performance of the network and optimisation of ANN parameters is a challenging task. To overcome the above drawbacks, the deep belief network (DBN) and fruit fly optimisation algorithm (FOA) are employed. The DBN has four parameters on learning step: learning rate, weight decay, penalty parameter, number of hidden units. These parameters should be properly selected for the proper functioning of DBN. Tuning of these parameters is taken into an optimisation issue and it is addressed by FOA. The proposed method has three steps: training, validation and testing. The metrics used for the performance evaluation are accuracy, false alarm rate and loss detection.