From tracking pandemics to applications, such as Google Maps, Uber, environmental
monitoring, journalism, healthcare, crisis/disaster response, air quality control, noise and …

Although mobile crowdsensing (MCS) has become a green paradigm of collecting,
analyzing, and exploiting massive amounts of sensory data, existing incentive mechanisms …

A number of information and resource sharing systems arise and become popular with the
rapid development of communication technologies and mobile smart devices. The …

Mobile crowdsensing (MCS) is widely applied in large-scale distributed networks for
collecting sensing data from workers. In an MCS system, workers are recruited to complete …

Despite the increasing popularity and successful examples of crowdsourcing, it is stripped of
aureole when collective efforts are derailed or severely hindered by elaborate sabotage. A …

With the ever improving availability of social media platforms, the internet and mobile
devices, crowdsourcing becomes a popular business development strategy in outsourcing …

Macrotasking crowdsourcing systems (MCSs), such as Google Helpouts and Elance have
emerged as an effective paradigm for improving human intelligence and activity to solve a …

Microtasking involves breaking down a job into smaller tasks and assigning them to a group
of workers who voluntarily complete the tasks and receive payment. However, the joint …

Crowdsourcing uses collective intelligence to finish complicated tasks and is widely applied
in many fields. However, the crowdsourcing dilemmas between the task requester and the …

Duplicated data storage wastes memory resources and brings extra data-management load
and cost to cloud service providers (CSPs). Various feasible schemes to deduplicate …