TY - GEN
T1 - Network traffic characteristics of proxied wearable devices
T2 - 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
AU - Seeling, Patrick
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - With the future explosive growth anticipated for wearable devices, this paper provides a first evaluation of the typical network traffic behavior to be expected from the interplay of the Google Glass augmented reality wearable and a connected smartphone in a baseline scenario. We include evaluation results ranging from a second to minutes time scale obtained from an exemplary measurement including both devices in a scenario that encompasses the default applications installed. We find that while overall traffic amounts are relatively small, they exhibit contrasting patterns on different time scales. Similarly, we find that on small time scales, little correlation between the traffic of the two devices exist, while higher correlation can be observed on larger time scales. The baseline results presented in this paper can thus be regarded as starting point to estimate future traffic schemes on a user's primary and secondary mobile devices and connecting wireless networks. The findings can be employed to optimize future mobile data delivery for the increasing multitude of similarly connected wearable devices associated with individual mobile users.
AB - With the future explosive growth anticipated for wearable devices, this paper provides a first evaluation of the typical network traffic behavior to be expected from the interplay of the Google Glass augmented reality wearable and a connected smartphone in a baseline scenario. We include evaluation results ranging from a second to minutes time scale obtained from an exemplary measurement including both devices in a scenario that encompasses the default applications installed. We find that while overall traffic amounts are relatively small, they exhibit contrasting patterns on different time scales. Similarly, we find that on small time scales, little correlation between the traffic of the two devices exist, while higher correlation can be observed on larger time scales. The baseline results presented in this paper can thus be regarded as starting point to estimate future traffic schemes on a user's primary and secondary mobile devices and connecting wireless networks. The findings can be employed to optimize future mobile data delivery for the increasing multitude of similarly connected wearable devices associated with individual mobile users.
KW - Cellular phones
KW - Communication system traffic
KW - Mobile communication
KW - Wearable computers
UR - http://www.scopus.com/inward/record.url?scp=84943177903&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2015.7158087
DO - 10.1109/CCNC.2015.7158087
M3 - Conference contribution
AN - SCOPUS:84943177903
T3 - 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
SP - 848
EP - 853
BT - 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 January 2015 through 12 January 2015
ER -