Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …

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

Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices
to accomplish the same sensing task. However, in vehicular networks, how to evaluate the …

Sensing data acquired with crowdsensing are generally stored at central cloud servers,
since massive data are involved and sensing devices do not have enough space to store …

Mobile crowdsensing (MCS) is an effective perception paradigm for large-scale tasks, driven
by the proliferation of mobile devices with more powerful sensing and computing …

The key pillar of developing digital city is the ubiquitous sensing of people and the
environment. Crowdsensing requires a large number of users to participate in the collection …

Empowered by crowdsensing technology, unmanned aerial vehicles (UAVs) equipped with
rich sensors can perform sensing tasks in extreme scenarios. However, due to the …

Unmanned aerial vehicles (UAVs) combined with tagging applications (Apps) have recently
attracted considerable attention to enable efficient mobile crowdsensing (MCS) applications …

As a novel sensing paradigm, crowd sensing systems have gained great attention and been
widely adopted in the environmental monitoring and calculation areas. In crowd sensing …

Mobile crowdsensing (MCS) has emerged as a new sensing paradigm that relies on the
sensing capabilities of the crowd to aggregate data. Unlike traditional MCS systems, where …