Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Mobile crowdsensing (MCS) is vulnerable to faked sensing attacks, as selfish smartphone
users sometimes provide faked sensing results to the MCS server to save their sensing costs …

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 …

Air pollution is a major problem in urban areas, where high population density is
accompanied with excess anthropomorphic emissions impacting the environment and …

With the rapid growth of smart terminals in recent years, crowdsensing which utilizes the
human intelligence to solve complicated problems have gained considerable interest and …

Leveraging the wisdom of crowd for knowledge discovery and monetization is increasingly
popular nowadays. Among others, one popular way of leveraging the crowd wisdom is …

Big data analytics can help governments and organisations to support democratic processes
through improving efficiency, effectiveness and transparency. A growing body of research …

Device to Device (D2D) communications is a candidate technology for the fifth-generation
(5G) and beyond mobile networks and certainly that results in high throughput, less energy …

Mobile crowdsensing (MCS) is widely applied in large-scale distributed networks for
collecting sensing data from workers. In an MCS system, workers are recruited to complete …

It is increasingly popular to leverage the wisdom of crowd for knowledge discovery and
monetization. Among others, crowdsensing with truth discovery has emerged as a promising …