Mobile Crowdsensing (MCS), an important component of the Internet of Things (IoT), is a
paradigm which utilizes people carrying smart devices, referred to as “workers”, to perform …

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 …

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

With the increased need for mobility and the overcrowding of cities, the area of Intelligent
Transportation aims at improving the efficiency, safety, and productivity of transportation …

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 …

In vehicular sensor networks, probe vehicles can act as mobile sensors to monitor physical
world and report to an urban sensing center. However, the distribution of probe vehicles is …

Data sharing is one critical step to implement data fusion, and how to encourage sensors to
share their data is an important issue. In this paper, we propose a reputation-based …

With the advent of mobile crowdsensing, we now have the possibility of tapping into the
sensing capabilities of smartphones carried by citizens every day for the collection of …

Participatory sensing plays an important role in Internet of Things (IoT) applications to collect
large scale data via powerful sensors from ubiquitous devices. However, without a proper …

Quasi-Newton methods are the efficient alternative to Newton methods for solving nonlinear
equation systems, since it can overcome the troubles of mass computing or hard to compute …