TY - GEN
T1 - A walk on the client side
T2 - 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
AU - Shi, Jinghao
AU - Meng, Lei
AU - Striegel, Aaron
AU - Qiao, Chunming
AU - Koutsonikolas, Dimitrios
AU - Challen, Geoffrey
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/27
Y1 - 2016/7/27
N2 - During the one minute it takes to read this abstract, two billion smartphones worldwide will perform billions of Wifi channel scans recording the signal strength of nearby Wifi Access Points (APs). Yet despite this ongoing planetary-scale wireless network measurement, few systematic efforts are made today to recover this potentially valuable data. In this paper we ask the question: Are the smartphone channel scans useful in monitoring enterprise Wifi networks? More specifically, can these client-side measurements provide new insights compared to the AP-side measurements that enterprise Wifi networks already perform? Beginning with two Wifi scan datasets collected on two large scale smartphone testbeds, we conduct case studies that show how smartphone channel scans can be used to (1) improve AP spectrum management, and (2) predict the impact of AP failure or overload. In each case, a walk on the client side yields valuable insights for network operators that are otherwise impossible to gain from AP-side measurements, and together our results demonstrate the value of smartphone channel scans.
AB - During the one minute it takes to read this abstract, two billion smartphones worldwide will perform billions of Wifi channel scans recording the signal strength of nearby Wifi Access Points (APs). Yet despite this ongoing planetary-scale wireless network measurement, few systematic efforts are made today to recover this potentially valuable data. In this paper we ask the question: Are the smartphone channel scans useful in monitoring enterprise Wifi networks? More specifically, can these client-side measurements provide new insights compared to the AP-side measurements that enterprise Wifi networks already perform? Beginning with two Wifi scan datasets collected on two large scale smartphone testbeds, we conduct case studies that show how smartphone channel scans can be used to (1) improve AP spectrum management, and (2) predict the impact of AP failure or overload. In each case, a walk on the client side yields valuable insights for network operators that are otherwise impossible to gain from AP-side measurements, and together our results demonstrate the value of smartphone channel scans.
UR - http://www.scopus.com/inward/record.url?scp=84983246808&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983246808&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2016.7524453
DO - 10.1109/INFOCOM.2016.7524453
M3 - Conference contribution
AN - SCOPUS:84983246808
T3 - Proceedings - IEEE INFOCOM
BT - IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 April 2016 through 14 April 2016
ER -