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 …

Traffic anomaly detection in road networks is vital for patrol participants to adaptively
optimize patrol routes for hybrid task scheduling. In most cases, the routine patrol routing …

Abstract In the Mobile Crowdsensing (MCS) system, due to the heterogeneity of requesters,
they are in mobile which means requesters will join or leave the MCS system at different …

Mobile crowd sensing (MCS) has become a powerful sensing paradigm that allows
requesters to outsource sensing tasks to a crowd of mobile users. Aware of the paramount …

With the popularity of Mobility-on-Demand (MOD) vehicles, a new market called MOD-
Vehicular-Crowdsensing (MOVE-CS) was introduced for drivers to earn more by collecting …

Many crowdsourcing platforms are emerging, leveraging the resources of recruited workers
to execute various outsourcing tasks, mainly for those computing-intensive video analytics …

Sparse Mobile CrowdSensing (SMCS) effectively lowers sensing costs while maintaining
data quality, offering an alternative approach to data collection. Unfortunately, the fact that …

Crowdsensing Data Trading (CDT) has emerged as a novel data trading paradigm, where
market stability is crucial during the transaction matching process. However, most existing …

Sparse mobile crowdsensing (MCS) is a cost-effective data collection paradigm that aims to
recruit users to collect data from a part of sensing subareas and infer the rest. In a more …

Many game-based data collection schemes are proposed to optimize system profits in
Mobile Crowd Sensing (MCS). These schemes often assume that the platform knows the …