TY - GEN
T1 - Smartphone-based Wi-Fi pedestrian-tracking system tolerating the RSS variance problem
AU - Kim, Yungeun
AU - Shin, Hyojeong
AU - Cha, Hojung
PY - 2012
Y1 - 2012
N2 - The Wi-Fi fingerprinting (WF) technique normally suffers from the RSS (Received Signal Strength) variance problem caused by environmental changes that are inherent in both the training and localization phases. Several calibration algorithms have been proposed but they only focus on the hardware variance problem. Moreover, smartphones were not evaluated and these are now widely used in WF systems. In this paper, we analyze various aspect of the RSS variance problem when using smartphones for WF: device type, device placement, user direction, and environmental changes over time. To overcome the RSS variance problem, we also propose a smartphone-based, indoor pedestrian-tracking system. The scheme uses the location where the maximum RSS is observed, which is preserved even though RSS varies significantly. We experimentally validate that the proposed system is robust to the RSS variance problem.
AB - The Wi-Fi fingerprinting (WF) technique normally suffers from the RSS (Received Signal Strength) variance problem caused by environmental changes that are inherent in both the training and localization phases. Several calibration algorithms have been proposed but they only focus on the hardware variance problem. Moreover, smartphones were not evaluated and these are now widely used in WF systems. In this paper, we analyze various aspect of the RSS variance problem when using smartphones for WF: device type, device placement, user direction, and environmental changes over time. To overcome the RSS variance problem, we also propose a smartphone-based, indoor pedestrian-tracking system. The scheme uses the location where the maximum RSS is observed, which is preserved even though RSS varies significantly. We experimentally validate that the proposed system is robust to the RSS variance problem.
KW - RSS variance problem
KW - Wi-Fi fingerprinting
KW - smartphone
UR - http://www.scopus.com/inward/record.url?scp=84861593994&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861593994&partnerID=8YFLogxK
U2 - 10.1109/PerCom.2012.6199844
DO - 10.1109/PerCom.2012.6199844
M3 - Conference contribution
AN - SCOPUS:84861593994
SN - 9781467302586
T3 - 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
SP - 11
EP - 19
BT - 2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
T2 - 10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
Y2 - 19 March 2012 through 23 March 2012
ER -