TY - GEN
T1 - New mobility-aware application offloading design with low delay and energy efficiency
AU - Li, Jiwei
AU - Peng, Zhe
AU - Xiao, Bin
PY - 2018/7/27
Y1 - 2018/7/27
N2 - In this paper, we present a new design, named MWS, for application offloading in mobile environments. MWS implements a mobility-aware WiFi selection policy on smartphones with the goal of achieving low delay and energy efficiency. The essence of this work lies in the emphasis of minimizing the number of occurrences of WiFi disconnects by utilizing human mobility habits and cloud-assisted WiFi information profiling. The WiFi access points (AP) selected by MWS are predicted to maintain the longest connection with smartphones among all available APs. As a result, MWS manages to avoid unnecessary or unsuccessful handoff that may otherwise be caused by the default signal strength oriented WiFi selection policy. The benefits brought by MWS are validated in our real-world evaluation. Compared with the default policy, MWS effectively reduces the number of occurrences of WiFi disconnects, and achieves a reduction of up to 50\% in energy consumption and up to 66\% in data communication time for application offloading in mobile environments.
AB - In this paper, we present a new design, named MWS, for application offloading in mobile environments. MWS implements a mobility-aware WiFi selection policy on smartphones with the goal of achieving low delay and energy efficiency. The essence of this work lies in the emphasis of minimizing the number of occurrences of WiFi disconnects by utilizing human mobility habits and cloud-assisted WiFi information profiling. The WiFi access points (AP) selected by MWS are predicted to maintain the longest connection with smartphones among all available APs. As a result, MWS manages to avoid unnecessary or unsuccessful handoff that may otherwise be caused by the default signal strength oriented WiFi selection policy. The benefits brought by MWS are validated in our real-world evaluation. Compared with the default policy, MWS effectively reduces the number of occurrences of WiFi disconnects, and achieves a reduction of up to 50\% in energy consumption and up to 66\% in data communication time for application offloading in mobile environments.
UR - http://www.scopus.com/inward/record.url?scp=85051413639&partnerID=8YFLogxK
U2 - 10.1109/ICC.2018.8422390
DO - 10.1109/ICC.2018.8422390
M3 - Conference article published in proceeding or book
AN - SCOPUS:85051413639
SN - 9781538631805
T3 - IEEE International Conference on Communications
BT - 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Communications, ICC 2018
Y2 - 20 May 2018 through 24 May 2018
ER -
