TY - GEN
T1 - A method for collecting uniform amount of fresh data from areas with varying population density
AU - Kawamoto, Yuichi
AU - Nakazawa, Takayuki
AU - Nishiyama, Hiroki
AU - Kato, Nei
AU - Shimizu, Yoshitaka
AU - Jiang, Tingting
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/9
Y1 - 2015/9/9
N2 - With the development of wireless communication technology, the utilization of the ambient information that the network users observe has attracted much attention. In this paper, we focus especially on the utilization of observed environmental signals for authentication systems. Ambient information taken as unique data at a particular time and place can be utilized to construct stronger authentication systems. However, since the environmental condition of the network is different for each location, which has a huge effect on the observed ambient information in the area, required data are also different for each place. Thus, in this paper, we propose an efficient data collection method which dynamically changes the way data is collected according to the requirements and the network condition. More specifically, our proposal aims to collect uniform amount of fresh data from areas with varying population density. Additionally, an algorithm to improve the efficiency of our proposal regarding the accommodation of the environmental condition of the network is introduced. Moreover, numerical results verify the effectiveness of our proposal.
AB - With the development of wireless communication technology, the utilization of the ambient information that the network users observe has attracted much attention. In this paper, we focus especially on the utilization of observed environmental signals for authentication systems. Ambient information taken as unique data at a particular time and place can be utilized to construct stronger authentication systems. However, since the environmental condition of the network is different for each location, which has a huge effect on the observed ambient information in the area, required data are also different for each place. Thus, in this paper, we propose an efficient data collection method which dynamically changes the way data is collected according to the requirements and the network condition. More specifically, our proposal aims to collect uniform amount of fresh data from areas with varying population density. Additionally, an algorithm to improve the efficiency of our proposal regarding the accommodation of the environmental condition of the network is introduced. Moreover, numerical results verify the effectiveness of our proposal.
KW - Ambient information
KW - Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA)
KW - Data collection
UR - http://www.scopus.com/inward/record.url?scp=84953775996&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953775996&partnerID=8YFLogxK
U2 - 10.1109/ICC.2015.7249188
DO - 10.1109/ICC.2015.7249188
M3 - Conference contribution
AN - SCOPUS:84953775996
T3 - IEEE International Conference on Communications
SP - 5435
EP - 5440
BT - 2015 IEEE International Conference on Communications, ICC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Communications, ICC 2015
Y2 - 8 June 2015 through 12 June 2015
ER -