MCS is an emerging paradigm that leverages the pervasiveness of mobile, wearable, and
vehicle-mounted devices to collect data from urban environments for ubiquitous service …

The possibility of performing complex data analysis through sets of cooperating personal
smart devices has recently encouraged the definition of new distributed computing …

In view of the rapid development of the Internet of Vehicles (IoV) and wireless
communication technology, intelligent transportation systems play an important role in …

Mobile Crowd-Sensing and Fog Computing are fundamental Internet of Things technologies
tailored for smart cities. The former enables user's devices to collect and share data in urban …

Mobile crowd sensing (MCS) applications are rapidly increasing and becoming a vital
technique affecting the daily lives of people. However, large scale mobile sensing systems …

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 …

Recently, the study of road surface condition monitoring has drawn great attention to
improve the traffic efficiency and road safety. As a matter of fact, this activity plays a critical …

Fog-assisted mobile crowdsensing (FA-MCS) alleviates challenges with respect to
computation, communication, and storage from the traditional model of mobile crowdsensing …

Abstract Development of Internet of things (IoT) has revitalized the feature scale of
wearables and smart home/city applications. The landscape of these applications …

The development and ubiquity of smart mobile devices have produced the idea of
crowdsensing, where people report and request data in a community via a cloud server …