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

Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

5G is emerging to serve as a platform to support networking connections for sensors and
vehicles on roads and provide vehicle-to-everything (V2X) services to drivers and …

In traditional mobile crowdsensing applications, organizers need participants' precise
locations for optimal task allocation, eg, minimizing selected workers' travel distance to task …

Sparse Mobile Crowdsensing (MCS) has become a compelling approach to acquire and
infer urban-scale sensing data. However, participants risk their location privacy when …

Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …

The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …

As an integral part of Internet of Things (IoT), mobile crowdsensing (MCS) via smart
embedded devices has recently gained significant attention for being effective in a wide …

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 …