A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
University of Luxembourg · IMDEA Networks · +2 more institutions
Abstract
Mobile crowdsensing (MCS) has gained significant attention in recent years and has become an appealing paradigm for urban sensing. For data collection, MCS systems rely on contribution from mobile devices of a large number of participants or a crowd. Smartphones, tablets, and wearable devices are deployed widely and already equipped with a rich set of sensors, making them an excellent source of information. Mobility and intelligence of humans guarantee higher coverage and better context awareness if compared to traditional sensor networks. At the same time, individuals may be reluctant to share data for privacy concerns. For this reason, MCS frameworks are specifically designed to include incentive mechanisms…
Citation impact
- FWCI
- 84.98
- Percentile
- 100%
- References
- 328
Authors
6Topics & keywords
- Computer science
- Crowdsensing
- Data science
- Open research
- Context (archaeology)
- Categorization
- Mobile device
- Wearable technology
- Sustainable cities and communities