The rapid development of the Internet of Things (IoT), 5G and 6G networks, and
advancements in hardware and software devices have enabled mobile devices to be …

With the development of the Industrial Internet of Things (IoT), the work of large-scale data
collection makes spatiotemporal crowdsensing (SC) play an important role. Mobile devices …

Abstract In Mobile Crowdsensing system, many sensing tasks are time-sensitive, hence,
time validity is essential cause data outside the time frame is useless which will not only …

Mobile crowd sensing is a data collection model that combines crowdsourcing ideas and
mobile device sensing abilities. In the decision-making process of mobile crowd sensing …

As the scale of Mobile CrowdSensing (MCS) system expands, effective mobile user
allocation and recruitment system design becomes crucial. Mobile users can be divided into …

A self-evolving reasoning method for task-user relationships based on the autonomic
knowledge graph is proposed for the problem of existing task assignment methods, which …

In this paper, we studied the feedback stabilization of an inductive power transfer system
based on available output measurement. The proposed controller relies on a full-order state …

Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the
sensors carried in mobile devices to collect large-scale environmental information and …

This study focuses on stabilizing a bidirectional inductive wireless power transfer (WPT)
system using an event‐triggered approach. It is only assumed the inductor currents on both …

Mobile crowdsourcing is rapidly growing with Artificial Intelligent of Things. At the same time,
the type and complexity of the tasks requested by the requester change and diversify …