TY - JOUR
T1 - Energy Efficient Wifi Tethering on a Smartphone
AU - Jung, Kyoung-Hak
AU - Qi, Yuepeng
AU - Yu, Chansu
AU - Suh, Young-Joo
N1 - Kyung-Hak Jung, Yuepeng Qi, Chansu Yu and Young-Joo. Suh, Energy Efficient Wifi Tethering on a Smartphone, IEEE INFOCOM, April 2014, Toronto, Ontario.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - While numerous efforts have been made to save energy of “client” devices but it has not been addressed for access points (APs) as they are assumed to be supported by AC power. This paper proposes E-MAP, which is an energy saving algorithm for a tethering smartphone that plays a role of mobile AP (MAP) temporarily. It saves MAP's energy by introducing the sleep cycle as in power save mode (PSM) in 802.11 but successfully keeps clients from transmitting while it sleeps. One important design goal of E-MAP is backward compatibility, i.e., it requires no modification on the client side and supports PSM and adaptive PSM (A-PSM) as well as normal constant awake mode (CAM) clients. Experiments show that E-MAP reduces the energy consumption of a Wifi tethering smartphone by up to 54% with a little impact on packet delay under various traffic patterns derived from real-life traces.
AB - While numerous efforts have been made to save energy of “client” devices but it has not been addressed for access points (APs) as they are assumed to be supported by AC power. This paper proposes E-MAP, which is an energy saving algorithm for a tethering smartphone that plays a role of mobile AP (MAP) temporarily. It saves MAP's energy by introducing the sleep cycle as in power save mode (PSM) in 802.11 but successfully keeps clients from transmitting while it sleeps. One important design goal of E-MAP is backward compatibility, i.e., it requires no modification on the client side and supports PSM and adaptive PSM (A-PSM) as well as normal constant awake mode (CAM) clients. Experiments show that E-MAP reduces the energy consumption of a Wifi tethering smartphone by up to 54% with a little impact on packet delay under various traffic patterns derived from real-life traces.
UR - https://engagedscholarship.csuohio.edu/enece_facpub/333
UR - http://ieeexplore.ieee.org/Xplore/defdeny.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D6848069%26userType%3Dinst&denyReason=-134&arnumber=6848069&productsMatched=null&userType=inst
U2 - 10.1109/INFOCOM.2014.6848069
DO - 10.1109/INFOCOM.2014.6848069
M3 - Article
JO - INFOCOM, 2014 Proceedings IEEE
JF - INFOCOM, 2014 Proceedings IEEE
ER -