Stochastic Model for Internet Mobile Data Traffic Sharing Analysis in Dual SIM Environment

Authors(2) :-Sunil Patil, Dr. Sharad Gangele

Today's lots of remarkable features are existing over mobile phones and their users seek connectivity ubiquitously round the clock everywhere to fulfill their requirements. Normally mobile phone users identify the quality of their mobile telephone network in terms of drops in internet connectivity and speed of web-page loading. At the same time trend of using more than one SIM has become common and users have started use of dual SIM mobile handset. Mobile user’s behaviour is depending on the quality of services provided by mobile telephone operator and his marketing strategy. At the same time congestion of network is a major factor in selection of SIM of a particular operator in the setup of dual SIM environment. In this paper a stochastic model of user behaviour is proposed under dual SIM environment and a correlation concerning, mobile data traffic Sharing and congestion probability has been derived with the usage of markov chain model. Moreover, for the clarification of derived results, Simulation study has also been implemented.

Authors and Affiliations

Sunil Patil
Assistant Professor, Department of Computer Science & Engineering, Vedica Institute of Technology, RKDF University, Bhopal (M.P.), India
Dr. Sharad Gangele
Professor, Department of Computer Science, RKDF University, Bhopal (M.P.), India

Dual SIM, Stochastic Model, Mobile Data Traffic, Congestion Probability, Dial-by-Dial, User's behaviour

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2016
Date of Publication : 2016-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 355-360
Manuscript Number : IJSRST1738133
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Sunil Patil, Dr. Sharad Gangele, " Stochastic Model for Internet Mobile Data Traffic Sharing Analysis in Dual SIM Environment, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 5, pp.355-360, September-October-2016. Available at doi : 10.32628/IJSRST1738133
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