In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …

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 …

With the increasing popularity of unmanned aerial vehicles (UAVs), it is foreseen that they
will play an important role in broadening the horizon of mobile crowd sensing (MCS) …

Location information of workers are usually required for optimal task allocation in mobile
crowdsensing, which however raises severe concerns of location privacy leakage. Although …

Worker selection is a key issue in mobile crowd sensing (MCS). While the previous worker
selection approaches mainly focus on selecting a proper subset of workers for a single MCS …

Recent years have witnessed the emergence of mobile crowd sensing (MCS) systems,
which leverage the public crowd equipped with various mobile devices for large scale …

Task allocation or participant selection is a key issue in Mobile Crowd Sensing (MCS). While
previous participant selection approaches mainly focus on selecting a proper subset of …

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

The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …