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
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;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on
Conference_Location :
Budapest
DOI :
10.1109/PerComW.2014.6815265
