Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …

By opportunistically engaging mobile users (workers), mobile crowdsensing (MCS) networks
have emerged as important approach to facilitate sharing of sensed/gathered data of …

Federated learning based participatory sensing has gained much attention lately for the vital
task of urban sensing due to privacy and security issues in conventional machine learning …

The severity of air pollution has prompted increased attention to air pollution monitoring.
This paper uses unmanned aerial vehicles (UAVs) to discover chimneys with excessive …

Deep reinforcement learning (DRL) has become prevalent for decision-making task
assignments in mobile crowdsensing (MCS). However, when facing sensing scenarios with …

Mobile crowdsensing (MCS) has become a crucial paradigm for the efficient implementation
of large-scale sensing tasks in smart cities. However, untrustworthy mobile users often …