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 …

Spatial crowdsourcing (SC) is an emerging paradigm of crowdsourcing, which commits
workers to move to some particular locations to perform spatio-temporal-relevant tasks (eg …

Crowdsourcing, a distributed human problem-solving paradigm is an active research area
which has attracted significant attention in the fields of computer science, business, and …

Crowdsourcing relies on the contributions of a large number of workers to accomplish
spatial tasks, and it has drawn more attention in recent years. Many crowdsourcing tasks are …

Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …

A new platform, termed spatial crowdsourcing, is emerging which enables a requester to
commission workers to physically travel to some specified locations to perform a set of …

Mobile cloud computing (MCC) is an emerging cloud-computing paradigm that integrates
cloud computing and mobile computing to enable many useful mobile applications …

Crowdsourcing systems are complex not only because of the huge number of potential
strategies for assigning workers to tasks, but also due to the dynamic characteristics …

In crowdsourcing systems, tasks are distributed to networked people for completion. To
ensure the output quality, current crowdsourcing systems highly rely on redundancy of …

With the great development in smart devices, mobile crowdsensing (MCS) has been an
innovative paradigm for data gathering. Task assignment is a fundamental problem in MCS …