The sharing economy has quickly become a very prominent subject of research in the
broader computing literature and the in human--computer interaction (HCI) literature more …

In mobile crowd computing (MCC), smart mobile devices (SMDs) are utilized as computing
resources. To achieve satisfactory performance and quality of service, selecting the most …

Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task
allocation approaches follow either the opportunistic or participatory mode, this paper …

With the rapid development of mobile networks and the proliferation of mobile devices,
spatial crowdsourcing, which refers to recruiting mobile workers to perform location-based …

Owing to the enormous advancement in miniature hardware, modern smart mobile devices
(SMDs) have become computationally powerful. Mobile crowd computing (MCC) is the …

Spatial Crowdsourcing (SC) is a novel platform that engages individuals in the act of
collecting various types of spatial data. This method of data collection can significantly …

While mobile crowd-sourcing has become a game-changer for many urban operations, such
as last mile logistics and municipal monitoring, we believe that the design of such crowd …

Crowdsourcing to mobile users has emerged as a compelling paradigm for collecting
sensing data over a vast area for various monitoring applications. It is of paramount …

Mobile crowd sensing (MCS) is a relatively new paradigm for collecting real-time and
location-dependent urban sensing data. Given its applications, it is crucial to optimize the …

With the ubiquitous usage of mobile devices, we are witnessing the emergence of
commercial crowdsourcing applications that leverage the power of the crowd (workers) to …