In recent years, the widespread adoption of mobile phones, combined with the ever‐
increasing number of sensors that smartphones are equipped with, greatly simplified the …

With the proliferation of Mobile Crowd Sensing (MCS), many domain applications that
answer different sensing requests, have been benefiting from the availability of participants …

Mobile crowd sensing (MCS) is a new paradigm for urban-scale monitoring. This article
concentrates on the Cost-Fair Task Allocation (CFA) problem for the MCS scenario where …

The proliferation of smartphones has enabled a novel paradigm, participatory sensing,
which leverages the smartphones to collect and share data about their surrounding …

As crowd sensing gains more popularity, the issue of recruiting the best workers for a fair
cost becomes more relevant. In this paper, we tackle the problem of workers' greediness …

Nowadays, vehicles have shown great potential in crowdsensing. To guarantee a good
Quality of Service (QoS), stimulating enough vehicles to participate in crowdsensing is very …

Mobile crowd sensing (MCS) is a new computing paradigm for the internet of things, and it is
widely accepted as a powerful means to achieve urban-scale sensing and data collection. In …

Mobile crowdsourcing is a promising paradigm for collecting sensing data by leveraging
contributions of numerous mobile smart phones. It works efficiently with Word of Mouth Mode …

Abstract Wireless Sensor Networks (WSNs) have become essential parts in various smart
city projects. However, the application-specific WSN deployment is constrained by its high …

Mobile users can form a service-sharing community within a geographic area by using their
mobile devices. Finding Quality of Service (QoS) optimal service compositions in such …