Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

Participatory sensing is a powerful paradigm that takes advantage of smartphones to collect
and analyze data beyond the scale of what was previously possible. Given that participatory …

Traditional wearable devices have various shortcomings, such as uncomfortableness for
long-term wearing, and insufficient accuracy, etc. Thus, health monitoring through traditional …

Worker selection is a key issue in mobile crowd sensing (MCS). While the previous worker
selection approaches mainly focus on selecting a proper subset of workers for a single MCS …

Recent years have witnessed the emergence of mobile crowd sensing (MCS) systems,
which leverage the public crowd equipped with various mobile devices for large scale …

Task allocation or participant selection is a key issue in Mobile Crowd Sensing (MCS). While
previous participant selection approaches mainly focus on selecting a proper subset of …

Mobile crowdsensing (MCS) is an emerging paradigm that leverages pervasive smart
terminals equipped with various embedded sensors to collect sensory data for wide …

Task allocation is a fundamental research issue in mobile crowd sensing. While earlier
research focused mainly on single tasks, recent studies have started to investigate multi-task …

Task allocation is a crucial issue of mobile crowdsensing. The existing crowdsensing
systems normally select the optimal participants giving no consideration to the sudden …

Participatory sensing is now becoming more popular and has shown its great potential in
various applications. It was originally proposed to recruit ordinary citizens to collect and …