Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …

Users can enjoy personalized services provided by various context-aware applications that
collect users' contexts through sensor-equipped smartphones. Meanwhile, serious privacy …

Spatial crowdsourcing (SC) enables task owners (TOs) to outsource spatial-related tasks to
a SC-server who engages mobile users in collecting sensing data at some specified …

Sensor-embedded smartphones have become ubiquitous nowadays, further leveraging the
popularity of mobile crowdsensing. A mobile crowdsensing platform gathers sensory data …

Mobile devices bring benefits as well as the risk of exposing users' location information, as
some embedded sensors can be accessed without users' permission and awareness. In this …

The unprecedented proliferation of mobile smart devices has propelled a promising
computing paradigm, Mobile Crowd Sensing (MCS), where people share surrounding …

Proximity detection is one of the most common location-based applications in daily life when
users intent to find their friends who get into their proximity. Studies on protecting user …

The key pillar of developing digital city is the ubiquitous sensing of people and the
environment. Crowdsensing requires a large number of users to participate in the collection …

Context-aware smartphone applications refer to those that have the ability to discern
information about their working environment and dynamically adapt their behaviors. Often …

The huge amount of sensory data collected from mobile devices has offered great potentials
to promote more significant services based on user data extracted from sensor readings …