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 major challenge in Mobile Crowd Sensing (MCS). While previous task
allocation approaches follow either the opportunistic or participatory mode, this paper …

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 …

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

Mobile crowd sensing (MCS) is a popular sensing paradigm that leverages the power of
massive mobile workers to perform various location-based sensing tasks. To assign workers …

Mobile crowdsensing has wide application perspectives and tremendous advantages over
traditional sensor networks due to its low cost, extensive coverage, and high sensing …

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 …

Multi-task allocation, as a crucial issue on mobile crowdsensing (MCS), is to find the optimal
participants-task pair under limited resource. The previous assignment methods normally …

Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …

Mobile crowdsensing (MCS) offers a promising paradigm for large-scale sensing with the
rapid growth of mobile smart devices. Compared with traditional sensing methods, MCS is …