A Machine Learning based Network Sharing System Design with MPTCP

Abstract

The information and communication technologies (ICT) integrate different types of wireless communication to provide IT-enabled services and applications. The great majority end devices are equipped with multiple network interfaces such as Wi-Fi and 4G. Our goal is to integrate the available network interfaces and technologies to enhance seamless communication efficiency and increase resources utilization. We proposed a heterogeneous network management algorithm based on machine learning methods which includes roaming and sharing functions. The roaming function provides the multiple network resources in physical and media access control layers. The sharing function supports multiple network resources allocation and the service handover process based on the Multi-Path TCP protocol. The simulation result also shows that the proposed scheme can increase the network bandwidth utilization effectively. The sharing system could be used in home, mobile and vehicular environments to realize ubiquitous social sharing networks.

Authors and Affiliations

Yu-Ching Lin

Keywords

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  • EP ID EP419948
  • DOI -
  • Views 166
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How To Cite

Yu-Ching Lin (2018). A Machine Learning based Network Sharing System Design with MPTCP. International Journal of Modern Research In Engineering & Management., 1(10), 37-45. https://europub.co.uk/articles/-A-419948