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 …

Data marketplaces are expected to play a crucial role in tomorrow's data economy, but such
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …

Nowadays, benefit from more powerful edge computing devices and edge artificial
intelligence (edge-AI) could be introduced into Internet of Things (IoT) to find the knowledge …

The exponential growth of data generated from increasing smart meters and smart
appliances brings about huge potentials for more efficient energy production, pricing, and …

A data marketplace is an online venue that brings data owners, data brokers, and data
consumers together and facilitates commoditisation of data amongst them. Data pricing, as a …

With the rapid development of the Internet of Things (IoT) in the era of big data, the amount
of collected data has increased dramatically. Data are one of the most important …

Crowdsensed Data Trading (CDT) is a novel data trading paradigm, in which each data
consumer can publicize its data demand as some crowdsensing tasks, and some mobile …

Mobile crowdsensing (MCS) by unmanned aerial vehicles (UAVs) servicing delay-sensitive
applications becomes popular by navigating a group of UAVs to take advantage of their …

By leveraging the power of crowd, the prevalence of mobile devices in mobile crowd-
sensing (MCS) networks helps and provides a wide range of sensing services through …

Existing machine learning (ML) model marketplaces generally require data owners to share
their raw data, leading to serious privacy concerns. Federated learning (FL) can partially …