Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

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 …

The mobile crowdsensing paradigm facilitates a broad range of emerging sensing
applications by leveraging ubiquitous mobile users to cooperatively perform certain sensing …

Coopetition and innovation are universally recognized as pivotal activities for
complementors on platforms. Distinct from extant literature that investigates the relationship …

Vehicle platoon, a novel vehicle driving paradigm that organizes a group of vehicles in the
nose-to-tail structure, has been considered as a potential solution to reduce traffic …

Federated Learning (FL) has achieved state-of-the-art performance in training a global
model in a decentralized and privacy-preserving manner. Many recent works have …

Mobile crowdsensing (MCS) has been an effective sensing paradigm by utilizing the smart
devices carried by mobile users to complete sensing tasks at different locations. An …

Purpose This study explores the factors that influence platform-to-platform cooperation
(PPC) and designs a theoretical framework for platform research. Design/methodology …

With the rapid development of Internet of Vehicles (IoV), crowd-sensing based on IoV is
widely used in various fields. Traditional crowd-sensing uses a third-party service platform …

Truth discovery is a reliable and effective technique to resolve conflicts of heterogeneous
data and estimate user reliability in mobile crowdsensing systems. Despite its effectiveness …