Enhancing QoS in 5G IoT with CNN and Blockchain Security vs. Deep Reinforcement Learning

Jeya Darshini, V. Nagaraju

2023

Abstract

In this research, the efficiency of both Novel Convolutional Neural Network (CNN) and Deep Reinforcement Learning (DRL) was assessed in enhancing the Quality of Service (QoS) for 5G-enabled intelligent Internet of Things (IoT) systems. Using data from the Kaggle repository with a sample size of 5840, an 80% G power and a 95% confidence interval were established. Two groups of 20 iterations each were divided, with Novel Convolutional Neural Networks making up the first group, and Deep Reinforcement Learning constituting the second. The results revealed that the accuracy of Deep Reinforcement Learning stood at 70.70%, whereas the CNN yielded an 84.64% accuracy rate. A marked difference of 0.405 between the two groups was observed, indicating non-significance. Therefore, it’s evident that CNNs offer superior QoS accuracy over Deep Reinforcement Learning.

Paper Citation

in Harvard Style

Darshini J. and Nagaraju V. (2023). Enhancing QoS in 5G IoT with CNN and Blockchain Security vs. Deep Reinforcement Learning. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 58-63. DOI: 10.5220/0012558800003739

in Bibtex Style

@conference{ai4iot23,
author={Jeya Darshini and V. Nagaraju},
title={Enhancing QoS in 5G IoT with CNN and Blockchain Security vs. Deep Reinforcement Learning},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={58-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012558800003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Enhancing QoS in 5G IoT with CNN and Blockchain Security vs. Deep Reinforcement Learning
SN - 978-989-758-661-3
AU - Darshini J.
AU - Nagaraju V.
PY - 2023
SP - 58
EP - 63
DO - 10.5220/0012558800003739
PB - SciTePress