I am developing research on the amount of data mobile phone user consume by specific application and by demographics for use in a variety of other studies. For example, there are estimates of data uses by application. Facetime is estimated to consume 200 MB of data per hour. Netflix, 1G per hour and iMessages are approximately 1 KB per message sent or received.
There doesn't seem to be an authoritative source for this type of data and I'm seeking this or someone to recommend a research method. I am also willing to sponsor such research.
The result would a definitive data dictionary. Examples of result would be such as:
iMessaging consumes approximately 1KB of data per message on iPhones. For men or women, ages 25 or younger, users engage in 16.4 sessions per day. These session last an average of 3 minutes each and consist of an exchange of 15 messages consuming 16.2 KB of data.
In the 25 45 age group, sessions drop to 9.2 per day with each session lasting only 48 second. On average men in this age group are less engaged in these sessions sending 4 message per session vs. 7 message received.
A comparison of messaging app shows similar behavior across all platforms. Certain platforms perform more efficiently than others. Data indicates:
iMessaging - 1K per message sent, 1 K per message received (All iPhones)
FaceChat - 2.6 K per message sent, and 1.2 K per message received.
NewChat - 10 K per message sent and 14 K per message received (Full color mode is default)
NewSMS - .2K per message sent and .001 per message received (however high latency)
Methods, Published data, or willing researchers are sought.
Thank you
Dear Ben Levitan,
The statistical analysis of the data traffic by the mobile users are available at the network operation centers of the mobile networks possessed by the operators of the these networks. The type of traffic and its duration are acquired and stored in data bases. They are used to develop the networks and to build new networks.
Otherwise there are traffic analyzers that can be used to analyse the traffic for each users. In this case you need to select a representative samples of the users.
Best wishes
Dear Ben Levitan,
The statistical analysis of the data traffic by the mobile users are available at the network operation centers of the mobile networks possessed by the operators of the these networks. The type of traffic and its duration are acquired and stored in data bases. They are used to develop the networks and to build new networks.
Otherwise there are traffic analyzers that can be used to analyse the traffic for each users. In this case you need to select a representative samples of the users.
Best wishes
dear Ben Levitan
DPI is a technique used in the PGW/GGSN, that helps the network provider to have the information. To get the same information from another source you can develop a mobile application ( for example that can optimize the data consumption ) then you will get your need about data consumption per application.
If you want I can help in the application design.
Check my paper
https://www.researchgate.net/publication/241185357_Packet_classification_using_the_Hidden_Markov_Model
Thank you. I will review this and appreciate your offer. I have tried to hire a developer in the past with little success.
Are you saying that the carriers are aware of the applications and metrics? Is the application coded? I will read your paper before I ask too many questions.
This is an excellent paper, that says the the Hidden Markov Method will statistically determine the application being used, to some extent. It appears that Markov is use in speech recognition.
Is this the full article? This is believable and factual as to how this can be used for Traffic Characterization. I'm interested in learning if there is Traffic Characterization results available or if you could create this through a study.
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