WeStat: a Privacy-Preserving Mobile Data Usage Statistics System

Author(s):  
Sébastien Canard ◽  
Nicolas Desmoulins ◽  
Sébastien Hallay ◽  
Adel Hamdi ◽  
Dominique Le Hello
2019 ◽  
Vol 8 (2) ◽  
pp. 1703-1705

The advancement of technical knowhow in wireless mobile phone clients and their inceptions from cloud server, have been implemented as versatile applications that utilize an optimal user experience. By using fabrication components in the user domain, we have yet to instill peripheral interfaces such us CPUs, memory and batteries in to achieving a personal computer machine usage in android devices. To empower the user interface as deployed in android applications, we must design a distributed computing environment that can be deployed in cloud servers. This thin client distributed architecture needs to be effective in ensuring a efficient android user experience . To resolve delays and latency from asynchronous mobile data usage, an effective deployment design must be implemented in mobilemobile environment, that uses Tcp/Ip packets in transferring from routable mobile switching server


2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Sungwook Kim

In the phase of the process that will lead to the future 5G networks, the demand of mobile data usage will continue to rise sharply, and the high cost of data will become a critical concern. As a major paradigm shift, data sponsoring has been introduced with the hope of benefiting the practice of the telecommunication industry. The main idea of data sponsoring is to subsidize the service payment while appealing to more users; it can potentially generate more profit gains for both the users and the system operators. In this paper, the intelligent interactions of three network entities, i.e., the users, the service providers, and the content providers, are analyzed based on the basic ideas of game theory, and we design an effective data sponsoring control scheme using a novel dual-leader Stackelberg game model. As dual leaders, service and content providers share the profit in a cooperative manner, and mobile users react individually to the leaders in a competitive manner. By employing different game methodologies, we investigate the mutual relationship between the network entities and aim to balance the user’s payoff and the system revenue. To validate the proposed approach, an analytic simulation model and numerical results are provided to demonstrate the efficiency and feasibility of the proposed approach under the 5G network infrastructure. Finally, we provide further challenges and various future opportunities in this research area.


2020 ◽  
Vol 6 (2) ◽  
pp. 20-33
Author(s):  
Vladimir N. Tregubov

The article contains a review of technologies for using the information provided by mobile operators in creating a transport survey and studying patterns of travel behavior. The literature review shows the widespread of using mobile communications as an effective source of information in terms of population coverage and data availability. In article described the domestic experience of using this information in custom information systems and presented the author's system of city transport survey.


2021 ◽  
Author(s):  
Paul Pu Liang ◽  
Terrance Liu ◽  
Anna Cai ◽  
Michal Muszynski ◽  
Ryo Ishii ◽  
...  

Author(s):  
Edy Budiman

Information about network availability and the amount of internet data usage is very important for planning and implementing management of free internet data assistance programs in the COVID-19 pandemic for students. Research Objectives to analyze for the mobile data usage in online learning (Zoom cloud meetings apps) during the COVID-19 pandemic at Higher Education institutions. The results study revealed that access to online learning using the Zoom cloud meeting apps for 1-minute internet data usage of 5.02bB for a meeting duration of 40 minutes and for a meeting duration of 60 minutes (1 hour) of 13.66 Mb. The measurement results are then used as a reference in the internet data assistance program for students as an effort in supporting the online learning process (Learning-From-Home), objective and proportionate in its distribution to beneficiaries


2007 ◽  
Vol 31 (10-11) ◽  
pp. 648-659 ◽  
Author(s):  
Mathias Tallberg ◽  
Heikki Hämmäinen ◽  
Juuso Töyli ◽  
Sauli Kamppari ◽  
Antero Kivi
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document