Mobile crowdsensing has emerged as a promising paradigm where location-based sensing
tasks are outsourced to mobile participants carrying sensor-equipped devices. A critical …

Locations are usually necessary for task allocation in spatial crowdsourcing, which may put
individual privacy in jeopardy without proper protection. Although existing studies have well …

The location information for tasks may expose sensitive information, which impedes the
practical use of mobile crowdsensing in the industrial Internet. In this article, to our …

Task allocation, which can be divided into offline task allocation and online task allocation, is
a significant issue in mobile crowdsensing (MCS). Unlike offline task allocation, in the online …

The increasing popularity of portable smart devices has led to the emergence of vehicular
crowdsensing as a novel approach for real-time sensing and environmental data collection …

Mobile Crowdsensing (MCS) is considered to be a key emerging example of a smart city,
which combines the wisdom of dynamic people with mobile devices to provide distributed …

Mobile crowdsensing (MCS) uses participants' computing resources to collect and analyze
data and it has been applied in several areas to bring the convenience to people's lives. In …

In mobile crowdsensing (MCS) environment, total carbon emission based on various travel
mode is an important factor that affects the design of incentive mechanism. Aiming at the …