Mobile crowdsensing (MCS) has gained popularity for its potential to leverage individual
mobile devices to sense, collect, and analyze data instead of deploying sensors. As the …

Mobile crowdsensing (MCS) is an emerging data collection paradigm that exploits the
potential of individual mobile devices to acquire mass data in a cost-effective manner. One …

Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …

With the widespread prevalence of smart devices, mobile crowdsensing (MCS) becomes a
new trend to encourage mobile nodes to participate in cooperative data collection in various …

With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …

Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the
requestor accomplish various sensing tasks with more flexibility and lower cost. However, for …

We propose a novel context-aware task allocation framework for mobile crowdsensing in the
scenario of edge computing to enable the crowdsensing platform effectively and real-timely …

With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …

Providing appropriate monetary rewards is an efficient way for mobile crowdsensing to
motivate the participation of task participants. However, a monetary incentive mechanism is …

A major challenge in mobile crowdsensing applications is the generation of false (or spam)
contributions resulting from selfish and malicious behaviors of users, or wrong perception of …