TY - GEN
T1 - Quality of information-aware real-time traffic flow analysis and reporting
AU - Mukherjee, Manisha
AU - Edwards, James
AU - Kwon, Heesung
AU - La Porta, Thomas F.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/24
Y1 - 2015/6/24
N2 - In this paper we present a framework for Quality of Information (QoI)-aware networking. QoI quantifies how useful a piece of information is for a given query or application. Herein, we present a general QoI model, as well as a specific example instantiation that carries throughout the rest of the paper. In this model, we focus on the tradeoffs between precision and accuracy. As a motivating example, we look at traffic video analysis. We present simple algorithms for deriving various traffic metrics from video, such as vehicle count and average speed. We implement these algorithms both on a desktop workstation and less-capable mobile device. We then show how QoI-awareness enables end devices to make intelligent decisions about how to process queries and form responses, such that huge bandwidth savings are realized.
AB - In this paper we present a framework for Quality of Information (QoI)-aware networking. QoI quantifies how useful a piece of information is for a given query or application. Herein, we present a general QoI model, as well as a specific example instantiation that carries throughout the rest of the paper. In this model, we focus on the tradeoffs between precision and accuracy. As a motivating example, we look at traffic video analysis. We present simple algorithms for deriving various traffic metrics from video, such as vehicle count and average speed. We implement these algorithms both on a desktop workstation and less-capable mobile device. We then show how QoI-awareness enables end devices to make intelligent decisions about how to process queries and form responses, such that huge bandwidth savings are realized.
UR - http://www.scopus.com/inward/record.url?scp=84946046573&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946046573&partnerID=8YFLogxK
U2 - 10.1109/PERCOMW.2015.7133996
DO - 10.1109/PERCOMW.2015.7133996
M3 - Conference contribution
AN - SCOPUS:84946046573
T3 - 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
SP - 69
EP - 74
BT - 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
Y2 - 23 March 2015 through 27 March 2015
ER -
