With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

Sparse mobile crowdsensing (SMCS) has emerged as a promising sensing paradigm for
urban sensing, leveraging the spatial and temporal correlation among data sensed in …

With spatial crowdsourcing (SC), requesters outsource their spatiotemporal tasks (tasks
associated with location and time) to a set of workers, who will perform the tasks by …

With increasing popularity of related applications of mobile crowdsensing, especially in the
field of Internet of Vehicles (IoV), task allocation has attracted wide attention. How to select …

Dynamic spectrum access is promising for mitigating worldwide wireless spectrum shortage.
Crowdsourced spectrum sensing (CSS) refers to recruiting ubiquitous mobile users to …

As location-based services (LBSs) on smartphones become increasingly popular, such
services are causing serious privacy concerns, because many users are unwilling to see …

Mobile crowdsensing has been considered as a promising approach for large scale urban
data collection, but has also posed new challenging problems, such as incentivization and …

Crowdsensing-based mobile Internet, while facilitating users' daily life, also raises privacy
concerns because of sharing user location trajectories. Combining with open-source …

Dynamic spectrum access (DSA) is the key to solving worldwide spectrum shortage. The
open wireless medium subjects DSA systems to unauthorized spectrum use by illegitimate …

Ridesharing services have gained tremendous popularity in recent years, benefiting the
traffic and environment of cities to a large extent. However, with the demand of ridesharing …