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

Related Articles

Modelling and Simulation of Shell and Tube Heat Exchanger Using different Types of Fluids

The shell and tube type of heat exchanger module is to be used for simulation study of various fluid systems on rate of heat transfer. The ionic fluids are used to see the difference in outlet temperature of fluid as com...

Assessing the Energy & Environmental Benefits and Socio-Economic Impacts of Solar Microgrid in Rural Areas in Sindh

In terms of energy, one of the challenges nowadays is to provide to electricity in rural areas. Provision of the electricity through the grids is costly in rural community. On the other hand, electricity produced from th...

Annealing effecting on some properties of CTAB modified Tellurium dioxide thin films by hydrothermal Technique

modified with hexadecyl trimethyl ammonium bromide (CTAB), the investigation of nanostructural and optical properties of TeO2 thin films was studied. The films are performed on glass substrates, the concentration of CTAB...

Design of Cold Recycled Emulsified Asphalt Mixtures Using Portland Cement as A Partial Replacement of Aggregate Mineral Filler

Cold Recycling is getting popularity in research sector and construction industries because it overcomes all the issues of Hot Mix Asphalt of more consumption of natural resources, high production energy, central plant r...

An Evaluation of The Influence of Corn Cob Ash (CCA) on The Strength Parameters of Bentonite Clay

It is of major reflection to with clear geotechnical investigation results. There are many methods for improvement of soil which include a variety of procedures like excavation and refilling of grouting, nailing etc. The...

Download PDF file
  • EP ID EP419948
  • DOI -
  • Views 166
  • Downloads 0

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