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 …

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

With the proliferation of mobile devices, spatial crowdsourcing is rising as a new paradigm
that enables individuals to participate in tasks related to some locations in the physical …

Spatial crowdsourcing (SC) enables task owners (TOs) to outsource spatial-related tasks to
a SC-server who engages mobile users in collecting sensing data at some specified …

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 …

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 …

With the widespread prevalence of smart devices, mobile crowdsensing (MCS) becomes a
new trend to encourage mobile nodes to participate in cooperative data collection in various …

Mobile crowdsensing is a useful technique to collect detailed information from mobile
devices of the participants. The participants need to participate to sense and transmit …

Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the
requestor accomplish various sensing tasks with more flexibility and lower cost. However, for …

Smart cities exploit the most advanced information technologies to improve and add value to
existing public services. Having citizens involved in the process through mobile …