A prompt CNN-FL model based on multi criteria for a smart vertical handoff in heterogeneous system
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 24 April 2020
Issue publication date: 4 November 2020
Abstract
Purpose
Heterogeneous network is mainly focused to enrich the demands of network's traffic and data rate. Heterogeneous network is an integrated system composed of diverse radio access technologies such as Wi-Fi, UMTS and WiMAX soon. To exchange the packets among these different wireless technologies, an adoptable vertical handoff (VHO) is required.
Design/methodology/approach
Various types of techniques have been proposed in line with VHO. However these algorithms lead to the threat of high dropping rate and poor Quality of Service (QoS). We modulate a new methodology by integrating Convolutional Neural Network with Fuzzy Logic (CNN-FL) for an optimum vertical handoff decision process (VHDP). The CNN-FL–based VHDP is very effective because of nonlinearity and generalization capability with uncertain data inputs.
Findings
The performance results exhibit that proposed methods show efficient for selecting the appropriate network with maximum throughput. At the same time, the proposed method reduces computational complexity and dropping rate considerably.
Originality/value
This paper proposes a novel CNN model along with a FL model for achieving a vertical hand off.
Keywords
Acknowledgements
I am very grateful to Alpha college of Engineering, Chennai for providing me the infrastructure facilities to carry out my research work. Also I thank St. Peter’s Institute of Higher Education and Research, Chennai for giving me an opportunity to do my research work.
Citation
R, G. and B, S. (2020), "A prompt CNN-FL model based on multi criteria for a smart vertical handoff in heterogeneous system", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 4, pp. 293-306. https://doi.org/10.1108/IJIUS-02-2019-0014
Publisher
:Emerald Publishing Limited
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