With the rapid development of Internet of Things (IoT), mobile crowdsensing (MCS), ie,
outsourcing sensing tasks to mobile devices or vehicles, has been proposed to address the …

From tracking pandemics to applications, such as Google Maps, Uber, environmental
monitoring, journalism, healthcare, crisis/disaster response, air quality control, noise and …

Mobile crowdsensing (MCS) is a distributed sensing paradigm that uses a variety of built-in
sensors in smart mobile devices to enable ubiquitous acquisition of sensory data from …

The prosperous development of IoT has created tremendous opportunities to improve
people's lives. Essentially, the core property of the IoT applications is the ability to perform …

Dynamic spectrum access (DSA) emerging as an effective way of improving the utilization of
the scarce spectrum has attracted great attention in the communication field. A key …

Mobile crowdsensing (MCS) is a cloud-inspired and non-dedicated sensing paradigm to
enable ubiquitous sensing via built-in sensors of personalized devices. Due to disparate …

The rapid proliferation of sensor-embedded devices has enabled the mobile crowdsensing
(MCS), a new paradigm which effectively collects sensing data from pervasive users. In …

Mobile crowdsourcing (MCS) is a new paradigm that uses various mobile devices to collect
sensed data. Mobile edge computing (MEC) can effectively utilize the device resources of …

Crowdsourcing has become an efficient paradigm to utilize human intelligence to perform
tasks that are challenging for machines. Many incentive mechanisms for crowdsourcing …

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 …