Mobile crowdsensing (MCS) is a popular paradigm to collect sensed data for numerous
sensing applications. With the increment of tasks and workers in MCS, it has become …

With the rapid development of crowd sensing in sensing applications, excellent incentive
mechanisms are playing an increasingly important role. However, most existing solutions do …

With the increase of mobile devices, Mobile Crowdsensing (MCS) has become an efficient
way to ubiquitously sense and collect environment data. Comparing to traditional sensor …

In mobile crowdsensing systems (MCS) efficient task assignment is the key problem that
defines the performance of the system. The current state-of-the-art solutions consider the …

One of the keys for the success of sweep coverage is to organize the participants to patrol
effectively in large-scale target areas in order to satisfy the quality requirements of the sweep …

With the unprecedented proliferation of mobile devices, Mobile Crowd Sensing (MCS)
emerges as a promising computing paradigm which utilizes sensor-embedded smart …

Due to the pervasive adoption of sensor-embedded mobile devices yet increasing demand
on data and computing resources, mobile crowdsensing is a promising paradigm with rapid …

In the era of big data, data is an extremely important and valuable asset. Data trading is
significantly essential to unlocking the power of AI/ML and gaining competitive advantages …

The sensors available in the smartphones are useful to explore a diverse range of city
dynamics (eg noise pollution, road condition, traffic condition, etc.). The potential of the …

Mobile crowd sensing is an appealing model, wherein mass users utilize smart devices to
perform tasks in mobile social networks. Most conventional method selects subset of …