Mobile crowdsourcing (MCS) is an emerging paradigm that harnesses the collective power
of the crowd to tackle large-scale tasks. To ensure the high-quality worker selection, various …

With the advent of mobile crowd sourcing (MCS) systems and its applications, the selection
of the right crowd is gaining utmost importance. The increasing variability in the context of …

Mobile crowdsensing (MCS) is a distributed sensing paradigm that uses a variety of built-in
sensors in smart mobile devices to enable ubiquitous acquisition of sensory data from …

Abstract Unlike crowdsourcing, Spatial Crowdsourcing (SC) requires workers to travel to a
specific physical location to accomplish a task. Due to its open concept, the platform accepts …

By utilizing the mobile terminals' sensing and computing capabilities, mobile crowdsourcing
network is considered to be a promising technology to support the various large-scale …

Mobile crowdsensing (MCS) is a cloud-inspired and non-dedicated sensing paradigm to
enable ubiquitous sensing via built-in sensors of personalized devices. Due to disparate …

Nowadays, Mobile Crowd Sensing (MCS) became the popular paradigm for sensing data.
MCS is vulnerable to many types of threats and faces many challenges. Trustworthiness is …

Incentive plays an important role in mobile crowdsensing (MCS), as it impels mobile users to
participate in sensing tasks and provide high-quality sensing data. However, considering the …

Mobile crowdsensing (MCS) harnesses the sensing capabilities of sensors built into a large
number of smart devices to collect and analyze sensory data, which can be used by a large …

There exist two severe challenges in cloud file-sharing networks: cooperation dilemma and
trust dilemma. The mechanism designed to promote cooperation could suffer from malicious …