In 2016, the Japanese Government publicized an initiative and a call to action for the
implementation of a “Super Smart Society” announced as Society 5.0. The stated goal of …

The past decade has seen the emergence of Vehicular Clouds as a topic of research in its
own right. Vehicular clouds were inspired by the reality of present-day vehicles featuring an …

Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive
sensor-embedded smartphones to collect data. Many incentive mechanisms for mobile …

Employment and workforce industry become more important because the human capital
value is linked to the company's profitability. Company becomes employee-centric in the …

In large-scale mobile crowd sensing systems, multi-task-oriented worker selection has
shown an increased efficiency in workers' allocation. However, existing solutions for multi …

In this paper, we address the problem of multi-worker multi-task allocation for mobile crowd
sourcing systems (MCS), known to be hard to solve. The existing solutions for multi-task …

Nowadays, more and more companies become employee centric enterprises and have a
data-driven culture. Employees, as a unique capital value, is linked to the company's …

Recent years have witnessed the rising popularity of urban vehicular crowd sensing (UVCS)
systems that leverage drivers' mobile devices equipped with on-board sensors for various …

Mobile crowdsourcing has become an efficient paradigm for performing large scale tasks.
The incentive mechanism is important for the mobile crowdsourcing system to stimulate …

Mobile crowdsensing (MCS) is a distributed sensing paradigm that uses a variety of built-in
sensors in smart mobile devices to enable ubiquitous acquisition of sensory data from …