TY - GEN
T1 - Enabling energy-aware mobile data offloading for smartphones through vertical collaboration
AU - Ding, Aaron Yi
AU - Hui, Pan
AU - Kojo, Markku
AU - Tarkoma, Sasu
PY - 2012
Y1 - 2012
N2 - Searching for mobile data offloading solutions has become topical in recent years. In the Metropolitan Advanced Delivery Network (MADNet) project, we explore the potential of multiple interfaces on smartphones through a collaborative design to enable energy-aware WiFi-based mobile data offloading. We advocate that the vertical col laborati on across different wireless access technologies and network vendors is the key to aggregate the power of mobile operators, WiFi service providers, and end-users. Aiming at reducing the energy consumption on smartphones, we propose an energy-aware algorithm supported by our collaborative architecture to avoid offloading to low-throughput WiFi networks which may consume more energy. The evaluation of streaming applications on our prototyped Nokia N900 smartphones demonstrates that we are able to achieve more than 80% energy saving. Our experiment in the wild also shows that our design can tolerate the minor errors of localization, mobility prediction, and offload capacity estimation.
AB - Searching for mobile data offloading solutions has become topical in recent years. In the Metropolitan Advanced Delivery Network (MADNet) project, we explore the potential of multiple interfaces on smartphones through a collaborative design to enable energy-aware WiFi-based mobile data offloading. We advocate that the vertical col laborati on across different wireless access technologies and network vendors is the key to aggregate the power of mobile operators, WiFi service providers, and end-users. Aiming at reducing the energy consumption on smartphones, we propose an energy-aware algorithm supported by our collaborative architecture to avoid offloading to low-throughput WiFi networks which may consume more energy. The evaluation of streaming applications on our prototyped Nokia N900 smartphones demonstrates that we are able to achieve more than 80% energy saving. Our experiment in the wild also shows that our design can tolerate the minor errors of localization, mobility prediction, and offload capacity estimation.
KW - Energy aware
KW - Mobile data offloading
KW - Vertical collaboration
UR - http://www.scopus.com/inward/record.url?scp=84871962776&partnerID=8YFLogxK
U2 - 10.1145/2413247.2413264
DO - 10.1145/2413247.2413264
M3 - Conference Paper published in a book
AN - SCOPUS:84871962776
SN - 9781450317757
T3 - CoNEXT Student 2012 - Proceedings of the ACM Conference on the 2012 CoNEXT Student Workshop
SP - 27
EP - 28
BT - CoNEXT Student 2012 - Proceedings of the ACM Conference on the 2012 CoNEXT Student Workshop
T2 - 2012 ACM CoNEXT Student Workshop, CoNEXT Student 2012
Y2 - 10 December 2012 through 10 December 2012
ER -