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 …

Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

The services are delivered to the user through a protocol interface of different resources.
Service delivery conferring on quality of service (QoS) mentioned in service level agreement …

Computation offloading is a proven successful paradigm for enabling resource-intensive
applications on mobile devices. Moreover, in view of emerging mobile collaborative …

Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

Mobile crowdsensing becomes a promising technology for the emerging Internet of Things
(IoT) applications in smart environments. Fog computing is enabling a new breed of IoT …

Mobile crowd-sensing (MCS) has appeared as a prospective solution for large-scale data
collection, leveraging built-in sensors and social applications in mobile devices that enables …

As the Internet of Things (IoT) matures in commercial sectors, the promise of diverse new
technologies such as data-driven applications, intelligent adaptive systems, and embedded …

The popularity and applicability of mobile crowdsensing applications are continuously
increasing due to the widespread of mobile devices and their sensing and processing …

Fog computing is an emerging and evolving technology, which bridges the cloud with the
network edges, allowing computing to work in a decentralized manner. As such, it introduces …