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 …

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 AI-Generated Content (AIGC) has achieved great attention in unleashing the power
of generative AI and scaling the AIGC services. By employing numerous Mobile AIGC …

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

In most blockchain-based application scenarios, a complete application logic consists of
multiple continuous transactions, in which the initiation of one transaction depends on the …

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

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 …

Mobile crowdsensing (MC), an excellent solution to large-scale spatiotemporal data sensing
problems, has recently received lots of attention from both industry and academia. In the MC …