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

With the popularity of sensor-rich mobile devices (eg, smart phones and wearable devices),
mobile crowdsourcing (MCS) has emerged as an effective method for data collection and …

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 …

Mobile crowdsourcing is being increasingly used by industrial and research communities to
build realistic datasets. By leveraging the capabilities of mobile devices, mobile …

Crowdsourcing can play an important role in the Internet of Things (IoT) applications for
information sensing and gathering where the participants are equipped with geolocated …

With the support of portable electronic devices and crowdsensing, a new class of mobile
applications based on the Internet of Things (IoT) application is emerging. Crowdsensing …

With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G
networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is …

Blockchain‐based crowdsourcing systems can mitigate some known limitations of the
centralized crowdsourcing platform, such as single point of failure and Sybil attacks …

The flexible combination of pervasive portable smart devices and omnipresent high-speed
access infrastructures has revolutionized the data sensing and knowledge acquisition in …

Mobile crowdsensing is a useful technique to collect detailed information from mobile
devices of the participants. The participants need to participate to sense and transmit …