DocumentCode
139737
Title
FlySensing: A case for crowdsensing in the air
Author
Omokaro, Osarieme ; Payton, Jamie
Author_Institution
Dept. of Comput. Sci., Univ. of North Carolina Charlotte, Charlotte, NC, USA
fYear
2014
fDate
24-28 March 2014
Firstpage
545
Lastpage
550
Abstract
The volume of commercial flights and the number of passengers carrying one or more digital devices aboard presents an opportunity for innovative research for the application of crowdsensing in the air. This paper explores opportunities to leverage crowdsensing in the context of the commercial airline industry. To demonstrate the potential of this approach, we present a diverse collection of use cases that span a variety of application domains, including health monitoring, safety and surveillance, scientific discovery, and business analytics.
Keywords
mobile computing; travel industry; FlySensing; application domains; business analytics; commercial airline industry; commercial flights; crowdsensing; health monitoring; safety and surveillance; scientific discovery; Collaboration; Companies; Industries; Safety; Sensors; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on
Conference_Location
Budapest
Type
conf
DOI
10.1109/PerComW.2014.6815265
Filename
6815265
Link To Document