Crowdsensing (CS) is a new data collection paradigm based on the willingness of people to
utilize their mobile devices to sense and transmit data of interest. Given the large amount of …

Mobile crowdsensing engages a crowd of individuals to use their mobile devices to
cooperatively collect data about social events and phenomena for customers with common …

Mobile participatory sensing has opened the doors to numerous sensing scenarios that
were unimaginable few years ago. In absence of protection mechanisms, most of these …

Much research has been conducted to securely outsource multiple parties' data aggregation
to an untrusted aggregator without disclosing each individual's privately owned data, or to …

Crowdsourcing is a crowd-based outsourcing, where a requester (task owner) can
outsource tasks to workers (public crowd). Recently, mobile crowdsourcing, which can …

Pricing and task allocation are vital to improving the efficiency in mobile crowdsensing, an
emerging human-in-the-loop application paradigm. Previous studies focused on incentive …

Mobile crowdsourcing systems are important sources of information for the Internet of Things
(IoT) such as gathering location related sensing data for various applications by employing …

We propose an accurate acoustic direction finding scheme, Swadloon, according to the
arbitrary pattern of phone shaking in a rough horizontal plane. Swadloon leverages sensors …

Understanding and predicting real-time vehicle mobility patterns on highways are essential
to address traffic congestion and respond to the emergency. However, almost all existing …

The ubiquity of smartphones makes the mobile crowdsourcing possible, where the requester
(task owner) can crowdsource data from the workers (smartphone users) by using their …