TY - GEN
T1 - An overview of mobile device network traffic and network interface usage patterns
AU - Lee, Junghyo
AU - Seeling, Patrick
PY - 2013
Y1 - 2013
N2 - In this paper, we present and evaluate the outcomes of a measurement study amongst Android mobile device users, who volunteered their device-level network activity data through a newly developed mobile application in January 2013. We evaluate the submitted data in two hour time intervals with respect to device-level network traffic amounts, application network activity times, and data distribution (as measure of connectivity) between mobile (cellular) and wireless LAN networks. We find fairly homogeneous values with low levels of autocorrelation or long range dependence for the device-level amounts of data, but an indication for self-similarity for the summed application network usage times, which are positively correlated. In addition, we observe that the average distribution for cellular interface usage exhibits clear patterns for the day of the week as well as the time of the day. The combination of these findings can find direct utilization in future mobile device utilization modeling efforts.
AB - In this paper, we present and evaluate the outcomes of a measurement study amongst Android mobile device users, who volunteered their device-level network activity data through a newly developed mobile application in January 2013. We evaluate the submitted data in two hour time intervals with respect to device-level network traffic amounts, application network activity times, and data distribution (as measure of connectivity) between mobile (cellular) and wireless LAN networks. We find fairly homogeneous values with low levels of autocorrelation or long range dependence for the device-level amounts of data, but an indication for self-similarity for the summed application network usage times, which are positively correlated. In addition, we observe that the average distribution for cellular interface usage exhibits clear patterns for the day of the week as well as the time of the day. The combination of these findings can find direct utilization in future mobile device utilization modeling efforts.
KW - Android
KW - Mobile applications
KW - connectivity
KW - network traffic
UR - http://www.scopus.com/inward/record.url?scp=84890084811&partnerID=8YFLogxK
U2 - 10.1109/EIT.2013.6632664
DO - 10.1109/EIT.2013.6632664
M3 - Conference contribution
AN - SCOPUS:84890084811
SN - 9781467352086
T3 - IEEE International Conference on Electro Information Technology
BT - 2013 IEEE International Conference on Electro/Information Technology, EIT 2013
T2 - 2013 IEEE International Conference on Electro/Information Technology, EIT 2013
Y2 - 9 May 2013 through 11 May 2013
ER -