The burden of entry into mobile crowdsensing (MCS) is prohibitively high for human-subject
researchers who lack a technical orientation. As a result, the benefits of MCS remain beyond …

Crowd-enabled place-centric systems gather and reason over large mobile sensor datasets
and target everyday user locations (such as stores, workplaces, and restaurants). Such …

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 …

The ubiquity of smartphones and their on-board sensing capabilities motivates crowd-
sensing, a capability that harnesses the power of crowds to collect sensor data from a large …

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 …

Mobile crowd sensing enables a broad range of novel applications by leveraging mobile
devices and smartphone users worldwide. While this paradigm is immensely useful, it …

An emerging category of devices at the edge of the Internet are consumer-centric mobile
sensing and computing devices, such as smartphones, music players, and in-vehicle …

In recent years, the widespread availability of sensor-provided smartphones has enabled
the possibility of harvesting large quantities of data in urban areas exploiting user devices …

Crowd sensing (CS) is an approach to collecting many samples of a phenomena of interest
by distributing the sampling across a large number of individuals. While any one individual …

Mobile Crowdsensing (MCS) requires users to be motivated to participate. However,
concerns regarding energy consumption and privacy—among other things—may …