Back to Search
Start Over
SensingGO
- Source :
- MobiCom
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- Mobile Crowd Sensing (MCS) is a promising paradigm to collect large-scale network data globally. However, how to motivate people to collect and share data is a challenge. We believe the major reason why many MCS systems are not pervasive is because there are no incentives for people to use them. In this paper, we present SensingGO, a system which encourages people to keep sensing data by integrating incentive mechanisms. The sensed data are then transmitted to our backend server. The data we collected and the source code of SensingGO are open to anyone freely. We also demonstrate the analysis of real mobile data collected from SensingGO.
- Subjects :
- Cellular data
Source code
Computer science
media_common.quotation_subject
Mobile broadband
Network data
020207 software engineering
02 engineering and technology
Data science
Sensing data
Incentive
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
- Accession number :
- edsair.doi...........f945247b223db8eda961641d48fa68e9