The Internet of Things (IoT) is becoming a pervasive technology entangled in everyday life.
The objective of IoT is to provide ubiquitous access to numerous devices and machines on …

Mobile crowdsensing (MCS) refers to a group of mobile users utilizing their sensing devices
to accomplish the same sensing task. However, in vehicular networks, how to evaluate the …

Mobile crowdsensing (MCS) uses ubiquitous smart devices and network access technology
to migrate sensing tasks from a centralized platform to a distributed computing terminal …

The thriving of the Internet of Things (IoT) has become the enabler of smart eHealthcare,
which greatly benefits patients by providing various data-driven healthcare monitoring …

The mobile crowdsensing network has gradually become an important means of realizing
comprehensive perception. In the mobile crowdsensing scenario, people use many kinds of …

The advance of cloud computing has driven an emerging trend of outsourcing the rapidly
growing data and query services to a powerful cloud for easing the local storage and …

As one of the most fundamental problems in mobile crowdsensing (MCS), worker selection
has drawn significant attention in recent years. However, very few studies consider the …

The rapidly growing location-based services enable service providers to accumulate
plentiful descriptions on points of interest (POIs), which can be used to support expressive …

Reverse k nearest neighbor (RkNN) query has been widely applied in the targeted push of
information. Many schemes for the RkNN query on encrypted data have been proposed for …

Crowdsensed data trading (CDT) solves the problem of data resource scarcity and diversity,
faced in conventional data trading by dispatching workers to perform data collection tasks …