Artificial Intelligence Based Network Selection in Heterogeneous Wireless Networks
Fahim Ahmed, Mostafa Zaman Chowdhury · 2021 International Conference on Electronics, Communications and Information Technology (ICECIT) · 2021
With the advancement of technology, wireless network is a must. There are various type of service providers all around us those offer wireless network services. The user needs to make a decision which network service it should take at a minimum cost and at the same time that can fulfill the maximum demand. For this reason, different factors need to take under consideration before connecting with a network from heterogeneous network environment. In this paper, we introduce a network selection method based on artificial intelligence. We train the neural network with some networks parameter and our model successfully suggests the best network a user should connect among those networks. Performance analyses based on python platform show that this method selects the best network with a good accuracy.