Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Big data is a term used for very large data sets that have more varied and complex structure.
These characteristics usually correlate with additional difficulties in storing, analyzing and …

Internet of Things (IoT) generates large amounts of data at the network edge. Machine
learning models are often built on these data, to enable the detection, classification, and …

In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …

This paper provides a state-of-the-art literature review on economic analysis and pricing
models for data collection and wireless communication in Internet of Things (IoT). Wireless …

The advances in wireless communication techniques, mobile cloud computing, automotive
and intelligent terminal technology are driving the evolution of vehicle ad hoc networks into …

Recent years have witnessed the emergence of mobile crowd sensing (MCS) systems,
which leverage the public crowd equipped with various mobile devices for large scale …

Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Crowdsourcing is a distributed computing paradigm that utilizes human intelligence or
resources from a crowd of workers. Existing solutions of task recommendation in …

As the development of crowdsourcing technique, acquiring amounts of data in urban cities
becomes possible and reliable, which makes it possible to mine useful and significant …