Fog-based vehicular crowdsensing is an emerging paradigm where vehicles use onboard
sensors to collect and share data with the aim of measuring phenomena of common interest …

The emergence of fog computing enables fog-based vehicle crowd sensing (FBVC) to be
utilized in various fields. However, existing privacy issues represent a primary challenge that …

The new paradigm of fog computing was extended from conventional cloud computing to
provide computing and storage capabilities at the edge of the network. Applied to vehicular …

Traffic monitoring system empowers cloud server and drivers to collect real-time driving
information and acquire traffic conditions. However, drivers are more interested in local …

In the recent past, great attention has been directed toward road surface condition
monitoring. As a matter of fact, this activity is of critical importance in transportation …

With the growing adoption of dash cameras, we are seeing great potential for innovations by
analyzing the video collected from vehicles. On the other hand, transmitting and analyzing a …

Vehicular crowdsensing is attracting more and more attention because of its wide sensing
coverage and diverse usage in smart cities. However, privacy issues that stem from …

Mobile crowdsensing enables a crowd of individuals to cooperatively collect data for special
interest customers using their mobile devices. The success of mobile crowdsensing largely …

Recent advances in sensing, computing, and networking have paved the way for the
emerging paradigm of mobile crowd sensing (MCS). The openness of such systems and the …

Vehicular sensing is advocated to perform data collection by exploiting a plethora of
vehicular on-board sensors; meanwhile, with the merging of vehicular sensing and fog …