Recent years have witnessed remarkable developments and increasingly deepened
integrations between blockchain as a decentralized computing architecture and auction as …

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 …

This paper proposes a privacy-preserving publish–subscribe-based decentralized
framework for MCS systems named “Pub-SubMCS”. The framework allows data sharing …

Mobile crowdsensing (MCS) can promote data acquisition and sharing among mobile
devices. Traditional MCS platforms are based on a triangular structure consisting of three …

With the development of communications, networking, and information technology,
Crowdsensed Data Trading (CDT) becomes a novel data trading paradigm. In CDT, the data …

Data-driven applications play an important role in modern-time maritime transportation
systems, for instance in facilitating decision-making relating to communication and safety …

Mobile Crowdsourcing (MCS) has become a novel paradigm for enabling data collection by
worker recruitment, and the reputation plays a crucial role in achieving high-quality data …

Numerous smart devices connected to Internet of Things (IoT) accelerate rapid development
of Crowdsourced Data Trading (CDT) system by capturing quantity of timely data. However …

Recent data leak scandals, together with the under-utilization of collected data (estimated
that around 90% of data never leaves a device's local storage), limits the applicability and …

The requirements for large amounts of data have promoted the rapid emergence of an
industry for trading data. However, the current one-to-one trading constraints in the existing …