The popularization of mobile devices connected to the network promotes the rise and
development of the emerging mobile Internet of Things (MIoT). Crowdsensing is a promising …

In view of the rapid development of edge computing and vehicular network, edge-assisted
vehicular crowdsensing system has brought significant benefits to Intelligent Transportation …

Web3 has received a lot of attention since its emergence. It aims to provide users with more
diverse and vivid web services as well as the complete control over their own data. To …

With the increase of on-board sensors, as a new paradigm of mobile crowdsensing (MCS),
vehicular crowdsensing (VCS) shows great potential in realizing low-cost, large-scale …

Sensing data acquired with crowdsensing are generally stored at central cloud servers,
since massive data are involved and sensing devices do not have enough space to store …

Spatial Crowdsourcing (SC) has been adopted in various applications such as Gigwalk and
Uber, where a platform takes location-based tasks (eg, picking up passengers) from a …

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

Mobile crowd sensing (MCS) arises as a promising data collection paradigm that leverages
the power of ubiquitous mobile devices to acquire rich information regarding their …

Task assignment is a research focus of Mobile Crowd Sensing (MCS). On the arrival of a
sensing task, most researches use the way of immediate recruitment to assign the task …

In mobile crowdsensing systems, the public crowd are required to report data with actual
locations under location privacy vulnerabilities. Moreover, even sensing data itself further …