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 …

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 …

The world is facing problems, such as uneven distribution of medical resources, the growing
chronic diseases, and the increasing medical expenses. Blending the latest information …

With the rapid growth of smart devices, mobile crowdsensing is becoming an important
paradigm to acquire information from physical environments. Considering that the sensing …

This paper proposes a novel multi-task allocation framework, named PSAllocator, for
participatory sensing (PS). Different from previous single-task oriented approaches, which …

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 …

For participatory sensing, task allocation is a crucial research problem that embodies a
tradeoff between sensing quality and cost. An organizer usually publishes and manages …

Abstract Mobile Crowd Sensing (MCS) is one of the most recent sensing paradigms that
gained its popularity thanks to the advances in mobile computing. A high number of mobile …

This paper proposes a novel task allocation framework, PSTasker, for participatory sensing
(PS), which aims to maximize the overall system utility on PS platform by coordinating the …

With the proliferation of Mobile Crowd Sensing (MCS), many domain applications that
answer different sensing requests, have been benefiting from the availability of participants …