Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

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 …

The Internet based cyber-physical world has profoundly changed the information
environment for the development of artificial intelligence (AI), bringing a new wave of AI …

Recently, with the fast proliferation of smart phones, mobile phone has the powerful ability of
not only communication but also computation. Human beings are not only data consumers …

With the popularization of intelligent terminals, crowdsensing has become increasingly
prominent because of its advantages, such as low cost, high convenience, and fast speed in …

Mobile crowdsensing (MCS) is an emerging data-driven paradigm that leverages the
collective intelligence of the crowd, their mobility, and the crowd-companioned smart mobile …

These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …