In the era of data information explosion, there are different observations on an object (eg, the
height of the Himalayas) from different sources on the web, social sensing, crowd sensing …

The ubiquity of crowdsourcing has reshaped the static sensor-enabled data sensing
paradigm with cost efficiency and flexibility. Still, most existing triangular crowdsourcing …

Offloading cellular traffic through Opportunistic Mobile Networks (OMNs) has been an
effective method to ease the traffic burden of cellular networks. However, providing data …

Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks
that are challenging for machines. Many truth discovery methods and incentive mechanisms …

The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource sensory data collection to the public crowd. In order …

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

In the era of big data, information can be collected from various sources. Unfortunately,
information provided by multiple sources on the same entity is inevitably conflicting. Due to …

In recent years, mobile crowdsensing has become an effective method for large-scale data
collection. Incentive mechanism is fundamentally important for mobile crowdsensing …

Mobile crowdsourcing (MCS) endeavors to attain reliable truth by recruiting large numbers
of users with handheld mobile devices to collect data. However, during the early stages of …

We consider one of the scenarios in IoT-based mobile crowdsourcing in strategic setting,
where we have single task requester (or task provider) and multiple task executors (or IoT …